{"id":"W4236743246","doi":"10.1515/iupac.88.1125","title":"Notochord","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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; Data mining; Philosophy","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":[0.001681922,0.0014996,0.001567383,0.004666516,0.001316496,0.005058662,0.002700088,0.001847138,0.2408366],"category_scores_gemma":[0.01775778,0.0007705674,0.001656031,0.009612652,0.000512324,0.003458513,0.003832447,0.002015427,0.2669532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696088,"about_ca_system_score_gemma":0.004519456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985536,"about_ca_topic_score_gemma":0.03593875,"domain_scores_codex":[0.9975514,0.0004580157,0.0004925436,0.0007036721,0.0005154969,0.0002789017],"domain_scores_gemma":[0.9932817,0.001994476,0.0007411834,0.001611908,0.001926778,0.0004439259],"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":[0.00006920539,0.000006729565,0.0006387444,0.001202158,0.00002373316,0.00001484561,0.00003134331,0.00007149563,0.00005835804,0.0009957383,0.9924285,0.004459163],"study_design_scores_gemma":[0.00007235724,0.00000781886,0.001339499,0.0006688946,0.0000154512,0.00003011502,0.00004435461,0.00006456303,0.00007966928,0.001100833,0.9965618,0.00001468891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000565577,0.00011952,0.00008899082,0.0001279719,0.00005143256,0.00001799351,0.997095,0.0003114996,0.002131055],"genre_scores_gemma":[0.0002888649,0.000174428,0.0003178606,0.0001699601,0.00001885282,0.0001119996,0.9967402,0.0002010483,0.001976893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2408366,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258276437326397,"score_gpt":0.4758087874295145,"score_spread":0.4499811436968749,"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."}}