{"id":"W2775609832","doi":"10.5061/dryad.c9b25/10","title":"Bayenv output file","year":2015,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Precipitation; Environmental science; Radar; Quarter (Canadian coin); Metric (unit); Statistics; Mathematics; Geography; Meteorology; Computer science; Engineering; Archaeology; Operations management","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":[0.001078391,0.002875809,0.001667545,0.002376858,0.0008358243,0.002352898,0.002857646,0.001776892,0.1666862],"category_scores_gemma":[0.00456409,0.00111724,0.001345614,0.003378624,0.000382546,0.001439145,0.002124563,0.001688165,0.1465435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432554,"about_ca_system_score_gemma":0.001736286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875395,"about_ca_topic_score_gemma":0.0395398,"domain_scores_codex":[0.9992273,0.00009627526,0.0000875642,0.0002812055,0.0002028341,0.000104776],"domain_scores_gemma":[0.9985484,0.0004067383,0.0001202466,0.0004088476,0.0003855125,0.0001301064],"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":[0.00007763103,0.00003282488,0.001282586,0.0005833193,0.00004534332,0.00002523565,0.00002417457,0.0005462628,0.0001743013,0.0004108139,0.9936248,0.00317264],"study_design_scores_gemma":[0.000534598,0.00003813147,0.006418662,0.0002959285,0.00006001714,0.00007913565,0.00008217732,0.001469575,0.0007575846,0.002936214,0.9872836,0.00004450935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000129777,0.00003367356,0.0001216497,0.00003228611,0.0000163362,0.00001238009,0.9983554,0.0008053537,0.0004930983],"genre_scores_gemma":[0.0003015694,0.0000194989,0.0003975535,0.00003245455,0.000002843804,0.00006386741,0.9985406,0.0001383636,0.0005032293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1666862,"threshold_uncertainty_score":0.5576209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643873388455061,"score_gpt":0.2130502764114683,"score_spread":0.1766115425269177,"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."}}