{"id":"W4234833847","doi":"10.1515/iupac.81.0492","title":"Intraspecific Competition","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Intraspecific competition; Environmental risk assessment; Ecology; Computer science; Biology; Risk assessment; Philosophy; 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":[0.00161371,0.001940902,0.00209392,0.003099072,0.001226149,0.003042933,0.004148871,0.002211748,0.08208234],"category_scores_gemma":[0.009505213,0.0006944838,0.002296939,0.005450857,0.0004570486,0.002204171,0.002434495,0.002279036,0.07642634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929365,"about_ca_system_score_gemma":0.00206295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02954076,"about_ca_topic_score_gemma":0.05586585,"domain_scores_codex":[0.997892,0.0003608017,0.0002103988,0.000756806,0.0004395552,0.0003404112],"domain_scores_gemma":[0.9964843,0.001070905,0.0004996667,0.000933718,0.0006968874,0.0003145272],"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":[0.0001784352,0.00006774685,0.008521749,0.001226163,0.0001671986,0.00006341036,0.00004284814,0.00102691,0.000275579,0.001945336,0.9791647,0.007319818],"study_design_scores_gemma":[0.0002930115,0.00005485875,0.02129361,0.0005877394,0.000122739,0.0002669692,0.000151884,0.001668715,0.0004609182,0.005631587,0.9693823,0.00008568598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006827416,0.0002875314,0.0001658041,0.0001169772,0.00006426947,0.00001758946,0.9966962,0.0002061967,0.001762786],"genre_scores_gemma":[0.001619806,0.0001220954,0.0004337259,0.0001074218,0.00001326124,0.00008027094,0.9961303,0.00004504526,0.00144814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08208234,"threshold_uncertainty_score":0.2745928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005883266378515158,"score_gpt":0.3080105734243892,"score_spread":0.302127307045874,"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."}}