{"id":"W4235546622","doi":"10.1515/iupac.81.0630","title":"Niche (in Ecology)","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; Ecology; Niche; Environmental risk assessment; Relation (database); Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001963855,0.0002498784,0.0002999623,0.00002582239,0.00002494061,0.00001046514,0.0003907474,0.0003478175,0.02037319],"category_scores_gemma":[0.000237487,0.0002019361,0.00007538607,0.0001291427,0.0001282141,0.00004645948,0.0002878798,0.0004244106,0.00001550954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599372,"about_ca_system_score_gemma":0.00004646427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006944497,"about_ca_topic_score_gemma":0.0005834468,"domain_scores_codex":[0.9985539,0.00001232408,0.0002644079,0.0003939965,0.000416146,0.0003592022],"domain_scores_gemma":[0.9993195,0.00005540325,0.00006875284,0.0004288499,0.000008007892,0.0001194632],"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":[0.00001938952,0.0000850709,0.0001661594,0.00003620595,0.00000764213,0.00005295475,0.000002175597,0.0000524917,0.001220574,2.081206e-7,0.9977002,0.0006568954],"study_design_scores_gemma":[0.0003879614,0.00002089811,0.0002173733,0.00008225945,0.0000136294,0.000008248579,0.000002329281,0.00001373778,0.001139538,0.00005989134,0.997789,0.0002651511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004034756,0.00005353185,0.000009492413,0.0002112192,0.0001622814,0.00007710909,0.9950643,0.00002840515,0.0003589746],"genre_scores_gemma":[0.0005152833,0.0001927774,0.0000335853,0.0001339596,0.0002162934,0.00001170081,0.9983343,0.00001737582,0.0005446592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02035768,"threshold_uncertainty_score":0.9805223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005342470635533918,"score_gpt":0.3224271408368124,"score_spread":0.3170846702012785,"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."}}