{"id":"W6905942229","doi":"10.15468/dl.tvxmg4","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001113914,0.002093037,0.001784336,0.005506346,0.001019648,0.002690438,0.003201593,0.00215055,0.1668804],"category_scores_gemma":[0.006054069,0.001000147,0.001136673,0.01107571,0.0004876344,0.002462117,0.00262802,0.002090862,0.2215795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890578,"about_ca_system_score_gemma":0.002780681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02919656,"about_ca_topic_score_gemma":0.0444019,"domain_scores_codex":[0.9989445,0.0001350988,0.0001339954,0.0003550083,0.0002501929,0.0001812947],"domain_scores_gemma":[0.9974469,0.0006880797,0.000242498,0.0006441809,0.0006596962,0.0003187024],"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":[0.00003084506,0.00001089464,0.0003242809,0.0005429319,0.00001464767,0.0000155444,0.0000239549,0.0001193878,0.0001196696,0.0004081297,0.9970737,0.00131599],"study_design_scores_gemma":[0.00007130143,0.000006620685,0.001777152,0.0001744094,0.00001358344,0.00003331257,0.00006621307,0.0001302911,0.0002029212,0.0007139234,0.9967917,0.00001856256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003024707,0.00002048621,0.00003524679,0.00002823354,0.000008663957,0.000004243827,0.9989741,0.0003185742,0.0005802519],"genre_scores_gemma":[0.0001296635,0.00002671028,0.0001654963,0.00003524456,0.00000259736,0.00003511817,0.999049,0.0001332343,0.0004228105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8331196,"threshold_uncertainty_score":0.5582707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}