{"id":"W6888716246","doi":"10.22008/fk2/orktcu/ate01p","title":"250dtmm.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009616942,0.00334725,0.00256706,0.004780174,0.00082393,0.003328541,0.00405347,0.002560833,0.2560481],"category_scores_gemma":[0.00456038,0.001604696,0.001558184,0.01038439,0.0005322095,0.002489722,0.002406347,0.002224582,0.3666871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380693,"about_ca_system_score_gemma":0.001909699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03495781,"about_ca_topic_score_gemma":0.04869339,"domain_scores_codex":[0.9989214,0.00020002,0.0001120986,0.0003559486,0.000209274,0.0002013962],"domain_scores_gemma":[0.9984626,0.0003818538,0.0001276904,0.0004647368,0.0004098291,0.0001533437],"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":[0.00001938445,0.000007025651,0.0001220715,0.0002697144,0.00001275798,0.000005701163,0.00001174505,0.0002096527,0.00003133162,0.0002868235,0.9980739,0.0009499064],"study_design_scores_gemma":[0.0001614959,0.000009303324,0.0009167204,0.0001771838,0.00001739413,0.00002332946,0.00005108277,0.0004219897,0.0001724198,0.001276123,0.9967492,0.00002377394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002497275,0.00002813549,0.00005100961,0.00002669405,0.0000165909,0.000002965241,0.9987685,0.0005157763,0.000565364],"genre_scores_gemma":[0.0001423643,0.00004072823,0.0002074908,0.00002460108,0.000007176178,0.00003120503,0.9985783,0.0002568767,0.0007112732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7439519,"threshold_uncertainty_score":0.8565664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}