{"id":"W6962300367","doi":"10.15468/dl.yyg5hn","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); Range (aeronautics); Alien; Identification (biology)","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":[0.001021742,0.001906082,0.00160004,0.004801385,0.0009955519,0.002618696,0.002670569,0.002117783,0.1465535],"category_scores_gemma":[0.006073146,0.0009000525,0.001245278,0.008972992,0.0004401181,0.002314805,0.002556731,0.002011872,0.2055127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518943,"about_ca_system_score_gemma":0.002270999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019054,"about_ca_topic_score_gemma":0.03074485,"domain_scores_codex":[0.9989208,0.0001513309,0.000139692,0.0003813907,0.0002297314,0.0001771341],"domain_scores_gemma":[0.9974098,0.0007679859,0.0002375101,0.0006797887,0.0006228334,0.0002820607],"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":[0.00003184591,0.00001303952,0.0004423776,0.0005841408,0.00001581615,0.00001624414,0.00002448753,0.0001366596,0.0001253016,0.0003767871,0.9967299,0.001503434],"study_design_scores_gemma":[0.00008005118,0.00000989689,0.002171979,0.0002204739,0.00001576041,0.00003992466,0.00008422857,0.0001798833,0.0002002602,0.0007793789,0.9961991,0.00001912959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004676031,0.00002820283,0.00004458119,0.00003944826,0.00001339433,0.000005801308,0.9988519,0.0003941776,0.0005757582],"genre_scores_gemma":[0.0001762815,0.00003565682,0.0002049475,0.00004918679,0.000003981967,0.00004414655,0.9988985,0.0001436109,0.0004436919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8534465,"threshold_uncertainty_score":0.4902703,"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."}}