{"id":"W4244055162","doi":"10.1515/iupac.85.0546","title":"Kingdon Trap","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Shoulder and Clavicle Injuries","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Terminology; Chemical nomenclature; Mass spectrometry; Chemistry; Atomic spectroscopy; Analytical Chemistry (journal); Spectroscopy; Chromatography; Physics; Linguistics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003306587,0.000467242,0.0008944494,0.0002467746,0.00009088858,0.00004018116,0.0002503952,0.000534678,0.00737655],"category_scores_gemma":[0.0003781768,0.000321331,0.000306963,0.0001781721,0.0002154224,0.00006297772,0.00008790578,0.0006323329,0.000007414434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442954,"about_ca_system_score_gemma":0.001028572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000978331,"about_ca_topic_score_gemma":0.0002310847,"domain_scores_codex":[0.9971562,0.00004513641,0.0005009874,0.0005292228,0.001282579,0.0004858548],"domain_scores_gemma":[0.9980323,0.00007790649,0.0001737226,0.001003159,0.0004297628,0.0002831503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006055082,0.0002727161,0.00006097066,0.0002996536,0.0001972179,0.0002247204,0.00001484258,2.869014e-8,0.00004395674,0.000007483054,0.9889942,0.009278685],"study_design_scores_gemma":[0.002031789,0.0006371909,0.000286562,0.0009835125,0.0005478893,0.0001167031,0.00003315565,4.904861e-7,0.0002433547,0.0001266623,0.9946169,0.0003757899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005170857,0.001221137,0.00004374309,0.002685283,0.0007995762,0.0003616461,0.9939646,0.0001366568,0.000270329],"genre_scores_gemma":[0.0001613601,0.001049987,0.00003288608,0.001478961,0.002217974,0.00001731352,0.9937199,0.00006243258,0.001259222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008902895,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015643358839734,"score_gpt":0.4787334851279571,"score_spread":0.4585770515395597,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}