{"id":"W6906029421","doi":"10.15468/dl.r6yvme","title":"Occurrence Download","year":2022,"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); Task (project management); Range (aeronautics); 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":[0.001125213,0.001967496,0.001663701,0.005360588,0.001059913,0.002888272,0.003001944,0.002016135,0.1912334],"category_scores_gemma":[0.006773856,0.001013862,0.00118358,0.01056957,0.0004582447,0.002538036,0.002828152,0.002056836,0.2577241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587816,"about_ca_system_score_gemma":0.002433561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942123,"about_ca_topic_score_gemma":0.03124914,"domain_scores_codex":[0.9988564,0.0001506878,0.0001501576,0.0003995009,0.0002590115,0.0001842645],"domain_scores_gemma":[0.9972628,0.0007765749,0.0002514099,0.0007335448,0.000664702,0.0003108878],"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":[0.00002706068,0.000009669056,0.0003126388,0.0005158453,0.00001421621,0.00001374194,0.00002322439,0.00009969922,0.0001100675,0.0003883362,0.9971312,0.00135431],"study_design_scores_gemma":[0.0000596414,0.000006480539,0.001510603,0.0001778352,0.0000133173,0.00003349586,0.00006700529,0.000112824,0.0001769808,0.0007414434,0.9970841,0.00001618013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003375881,0.00002417786,0.00005020147,0.00003331051,0.00001146935,0.00000501426,0.998749,0.0004022766,0.0006907168],"genre_scores_gemma":[0.0001465571,0.00003304385,0.0001961726,0.00004363178,0.000003324579,0.00004115046,0.9988379,0.0001962521,0.0005019596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8087666,"threshold_uncertainty_score":0.6397395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}