{"id":"W6905972816","doi":"10.15468/dl.qt8vft","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); Alien; Range (aeronautics); Data set","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":[0.0009914534,0.002009918,0.001558885,0.004808248,0.001015898,0.00266766,0.002803403,0.00217623,0.1664065],"category_scores_gemma":[0.006109268,0.0009233099,0.001271202,0.0090764,0.0004470652,0.002399969,0.002558188,0.002036043,0.2338054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580397,"about_ca_system_score_gemma":0.002294828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205202,"about_ca_topic_score_gemma":0.03489101,"domain_scores_codex":[0.9990349,0.0001340802,0.0001167495,0.0003434611,0.0002120802,0.0001588307],"domain_scores_gemma":[0.9975521,0.0007518909,0.0002002699,0.0006308812,0.0005960129,0.0002688566],"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":[0.00002490885,0.00001147139,0.0003613246,0.0005080983,0.00001328545,0.00001536504,0.00002222062,0.0001145629,0.0001083094,0.0003302325,0.9971508,0.001339458],"study_design_scores_gemma":[0.00007318325,0.000009087486,0.001925064,0.0002129982,0.00001480307,0.00003960127,0.00008231981,0.0001827812,0.0001933718,0.0008123697,0.9964358,0.0000186831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004419239,0.00002826396,0.0000469788,0.00004236167,0.00001364969,0.000006245933,0.9987255,0.0004339982,0.0006587635],"genre_scores_gemma":[0.0001724249,0.00003510756,0.0002117865,0.00005374913,0.000004112238,0.00005067006,0.9988101,0.0001664611,0.0004955701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335935,"threshold_uncertainty_score":0.556685,"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."}}