{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001174212,0.0002530359,0.0002454945,0.00001788896,0.00004963423,0.00002277022,0.0003178503,0.0002330699,0.05367299],"category_scores_gemma":[0.00008959296,0.0002050174,0.00008449231,0.00009897085,0.0001544528,0.00006004673,0.0001961513,0.0003216151,0.00002794058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006015227,"about_ca_system_score_gemma":0.00002706479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002633103,"about_ca_topic_score_gemma":0.00004964862,"domain_scores_codex":[0.9985209,0.000009746345,0.000232305,0.0003592242,0.0006038266,0.000274067],"domain_scores_gemma":[0.9992965,0.00003598188,0.00007868855,0.0004324564,0.0000151566,0.0001411919],"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":[0.00001566645,0.00006634147,0.000002340628,0.00004250475,0.00001063696,0.00001984522,0.000002243054,0.00002113889,0.003318518,0.000002565203,0.9953384,0.001159771],"study_design_scores_gemma":[0.0002474653,0.000020584,0.00001295403,0.0001282329,0.00002017679,0.0000122125,0.000004037046,0.000008466553,0.002223657,0.00009774663,0.9969404,0.0002840168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005333533,0.00004342623,0.0002176339,0.0001685141,0.0002201789,0.00006785359,0.9980316,0.00005611894,0.0006613908],"genre_scores_gemma":[0.0003467824,0.0002413096,0.00003567505,0.0000698957,0.000515922,0.00000596227,0.9984477,0.00001751889,0.0003192564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05364505,"threshold_uncertainty_score":0.9471921,"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."}}