{"id":"W4233845115","doi":"10.1515/iupac.84.0411","title":"Class Switching","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Class (philosophy); Immunology; Medicine; Computer science; Immune system; Artificial intelligence; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002075155,0.0004465803,0.000547035,0.0001537792,0.00005712358,0.00008494415,0.0004211109,0.000416793,0.00234616],"category_scores_gemma":[0.0001465764,0.0003325036,0.0001533745,0.0001282861,0.00004361659,0.0001258075,0.00008323296,0.0005849327,0.00001037942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329787,"about_ca_system_score_gemma":0.0001160425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003366874,"about_ca_topic_score_gemma":0.0003125274,"domain_scores_codex":[0.9981549,0.00002107902,0.0003954673,0.0003339317,0.0006205642,0.0004740202],"domain_scores_gemma":[0.9988682,0.0001089875,0.00006302016,0.0006247646,0.000130351,0.0002046273],"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":[0.00001170056,0.00002268972,0.000001682646,0.0002265213,0.0001035504,0.00004611186,0.000004340436,0.00003038531,0.0001834088,0.00001255997,0.9967878,0.00256921],"study_design_scores_gemma":[0.0003607178,0.00004039964,0.00000576005,0.0004119198,0.00007750047,0.000007745153,0.00001200244,0.0002217662,0.0001043643,0.0001164638,0.9981627,0.0004786523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007089669,0.001544171,0.0001683354,0.0001178742,0.002143562,0.0001298875,0.9946644,0.000289472,0.0002333399],"genre_scores_gemma":[0.0001745853,0.001418854,0.00004810304,0.0001902175,0.001315368,0.00000795553,0.996679,0.00007483421,0.00009108801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002335781,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061973630904735,"score_gpt":0.3423309215562557,"score_spread":0.3317111852472083,"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."}}