{"id":"W4230494487","doi":"10.1515/iupac.88.0422","title":"Albinism","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0007884894,0.0009197447,0.001129061,0.00268614,0.0005402659,0.001295744,0.001144135,0.0009163168,0.07553574],"category_scores_gemma":[0.007455235,0.0003264053,0.0008761207,0.00459271,0.0002885509,0.001079468,0.001055131,0.001261939,0.0442732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007700594,"about_ca_system_score_gemma":0.001345019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009461926,"about_ca_topic_score_gemma":0.01669528,"domain_scores_codex":[0.9990624,0.0001443677,0.0002609379,0.0002498979,0.0001857232,0.00009679466],"domain_scores_gemma":[0.9976829,0.0007308038,0.000565416,0.000406111,0.0004775109,0.000137231],"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":[0.0002856281,0.00002716422,0.006467513,0.00298015,0.00007402283,0.0001174668,0.00004174834,0.0001254536,0.0001747755,0.0008497855,0.9608729,0.0279834],"study_design_scores_gemma":[0.0001826129,0.00002281589,0.0229325,0.002286134,0.00006984586,0.0004768094,0.00009741387,0.0001270583,0.0002260461,0.001541195,0.9720082,0.00002918687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000698652,0.001080463,0.0001682918,0.0002538435,0.00008601818,0.00005790871,0.9922318,0.0001682119,0.005254773],"genre_scores_gemma":[0.003408375,0.001819339,0.0006345244,0.0004478501,0.00005668105,0.0002526994,0.9891728,0.00007321173,0.004134445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07553574,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421982611942639,"score_gpt":0.4306084004921749,"score_spread":0.4163885743727485,"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."}}