{"id":"W4231358353","doi":"10.1515/iupac.81.0714","title":"Population Size","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Population; Relation (database); Ecology; Computer science; Environmental health; Biology; Data mining; Medicine; Linguistics","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":[0.001379217,0.001152057,0.001493255,0.003522767,0.0005930159,0.002740387,0.002353867,0.001255349,0.08753917],"category_scores_gemma":[0.01270158,0.0005344297,0.001405994,0.005815748,0.0003007643,0.002063119,0.001543926,0.002044932,0.07010463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185718,"about_ca_system_score_gemma":0.001078194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463408,"about_ca_topic_score_gemma":0.01777208,"domain_scores_codex":[0.9986066,0.000182066,0.0002190496,0.0005649069,0.0002984887,0.0001288967],"domain_scores_gemma":[0.9962166,0.001424,0.0004786695,0.0008334431,0.0008438519,0.0002033332],"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":[0.00009985665,0.00002517979,0.01393163,0.0007772473,0.0001272469,0.00003358661,0.00005593801,0.00104816,0.0001231751,0.002147898,0.9703746,0.0112554],"study_design_scores_gemma":[0.0002595861,0.00003306489,0.03187241,0.00048335,0.00008731334,0.0002748632,0.0001311635,0.001564569,0.0002818659,0.00505432,0.9598957,0.00006177853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005920769,0.0002004649,0.0001902708,0.0001032155,0.00006071274,0.00001640878,0.9969077,0.0002146243,0.00171468],"genre_scores_gemma":[0.003463992,0.0002614851,0.0006145468,0.0001314003,0.00003820152,0.0001487794,0.9932091,0.00009339592,0.0020392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08753917,"threshold_uncertainty_score":0.2928477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008337138626887806,"score_gpt":0.3522152051208956,"score_spread":0.3438780664940078,"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."}}