{"id":"W4399521761","doi":"10.32614/cran.package.ssddata","title":"ssddata: Species Sensitivity Distribution Data","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Distribution (mathematics); Geography; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002659813,0.001888499,0.00131988,0.004321634,0.001001956,0.001511631,0.003398204,0.001875694,0.05263622],"category_scores_gemma":[0.01176101,0.0009384052,0.00128828,0.007638605,0.0005218185,0.001428339,0.002090301,0.002450515,0.05750922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002494112,"about_ca_system_score_gemma":0.003441919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0662277,"about_ca_topic_score_gemma":0.120804,"domain_scores_codex":[0.9978184,0.0003401875,0.0002167442,0.0005687453,0.0008104421,0.0002455364],"domain_scores_gemma":[0.9924645,0.001626253,0.0006116994,0.002047394,0.002730356,0.0005198163],"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":[0.00004590043,0.0000296455,0.001572652,0.0004416162,0.00003724945,0.00001465886,0.00004219877,0.0007258851,0.0001412579,0.000598841,0.9932581,0.003092013],"study_design_scores_gemma":[0.0001549519,0.0000171509,0.01244369,0.0001966156,0.00002491741,0.00004484343,0.00009586225,0.00101392,0.0006202438,0.001836149,0.9834995,0.00005218142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002372367,0.00002526818,0.0001779539,0.00003273637,0.00001537365,0.00001396705,0.9984855,0.0003953027,0.0006166894],"genre_scores_gemma":[0.0005229376,0.00001969601,0.0006775739,0.00002939327,0.000003384595,0.0000907406,0.9979156,0.0001374679,0.0006032341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0662277,"threshold_uncertainty_score":0.1760857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03341313429891138,"score_gpt":0.246567241299906,"score_spread":0.2131541070009946,"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."}}