{"id":"W4234497502","doi":"10.1515/iupac.81.0057","title":"Allele","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Computer science; Ecology; Biology; Risk assessment; Data mining; Linguistics; 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":[0.001322878,0.001690243,0.001157557,0.003187591,0.001193005,0.003616908,0.002560373,0.002018524,0.2179048],"category_scores_gemma":[0.01079107,0.0005782221,0.001359031,0.005716139,0.0003959292,0.002982156,0.002674111,0.001942643,0.2856016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740037,"about_ca_system_score_gemma":0.002657554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202185,"about_ca_topic_score_gemma":0.03893618,"domain_scores_codex":[0.9977234,0.0003533905,0.0002894484,0.0008313975,0.0005087245,0.0002935801],"domain_scores_gemma":[0.9957368,0.0009141389,0.000373389,0.001178673,0.001481297,0.000315612],"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":[0.00006124959,0.00001399162,0.001226049,0.0003801726,0.00001575205,0.00001529012,0.00002212102,0.00009214727,0.0000661997,0.0008919479,0.9928318,0.004383247],"study_design_scores_gemma":[0.00007247167,0.000009993325,0.002463271,0.0002837786,0.00001345336,0.00005598009,0.00008583314,0.0001545729,0.0001509716,0.001509792,0.9951828,0.00001697479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001311407,0.00006904285,0.0001149074,0.0001170825,0.0000428869,0.00001836428,0.9969051,0.0002696954,0.00233173],"genre_scores_gemma":[0.0003458957,0.00006328574,0.0003373885,0.0001369548,0.0000100238,0.00007501526,0.9971346,0.00007933065,0.001817539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2179048,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671137891397105,"score_gpt":0.4249509372254658,"score_spread":0.4082395583114947,"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."}}