{"id":"W4237225279","doi":"10.1515/iupac.87.0193","title":"Disc, Intervertebral","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Medicine; Chemistry; Linguistics; Philosophy; Data mining; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005213917,0.001504167,0.00133971,0.004082643,0.0006651256,0.002351162,0.002451031,0.001502167,0.1180366],"category_scores_gemma":[0.007668063,0.0004466054,0.001480495,0.005614201,0.0004811356,0.001702551,0.001336855,0.0018702,0.07619606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114759,"about_ca_system_score_gemma":0.002640558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129651,"about_ca_topic_score_gemma":0.0244905,"domain_scores_codex":[0.9990041,0.0001008513,0.0002738154,0.0003052602,0.0001943756,0.0001216851],"domain_scores_gemma":[0.9976514,0.0006357573,0.000550357,0.0004344341,0.0005881953,0.0001398059],"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":[0.000335217,0.00002623379,0.004143877,0.00548817,0.0001060669,0.0001142953,0.00003295328,0.0003792443,0.000178457,0.0008982886,0.9724811,0.01581614],"study_design_scores_gemma":[0.0002800767,0.00003571747,0.009775703,0.001803206,0.0001040388,0.0005271474,0.00008990854,0.0002465519,0.0002372528,0.00217488,0.9846942,0.00003132735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002567145,0.0006994233,0.0001194246,0.0001015032,0.00009652303,0.00004099397,0.9964421,0.0001498071,0.002093558],"genre_scores_gemma":[0.001864217,0.0008395297,0.0006005985,0.0002469875,0.00005571528,0.0001872765,0.9942484,0.00005754152,0.001899671],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1180366,"threshold_uncertainty_score":0.3948717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058758096618458,"score_gpt":0.4337965030495827,"score_spread":0.4132089220833982,"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."}}