{"id":"W6906323429","doi":"10.15468/dl.zm5sqm","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009105075,0.002032697,0.001528238,0.005022763,0.0009642866,0.00242024,0.002605906,0.001926051,0.1650472],"category_scores_gemma":[0.005894192,0.0009260905,0.001204806,0.009938816,0.0004376775,0.002197542,0.00256269,0.001789762,0.2196097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481986,"about_ca_system_score_gemma":0.002283617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066716,"about_ca_topic_score_gemma":0.03286946,"domain_scores_codex":[0.9989738,0.000136105,0.0001354558,0.000370028,0.0002112143,0.0001733181],"domain_scores_gemma":[0.997603,0.0006902792,0.000231706,0.0006082724,0.0005961286,0.0002706335],"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":[0.00003489706,0.00001205964,0.0004142473,0.0005703263,0.00001489752,0.00001530141,0.00002290703,0.0001317152,0.0001283661,0.0003562621,0.996783,0.001515989],"study_design_scores_gemma":[0.00008354484,0.0000112022,0.002083666,0.00019278,0.00001605468,0.00003961402,0.00007357269,0.0001635822,0.0002030025,0.0008008699,0.9963126,0.00001960311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004664517,0.0000246343,0.00003937237,0.00003187335,0.00001182152,0.000004856739,0.9988738,0.0003618817,0.0006051865],"genre_scores_gemma":[0.0001641797,0.00003215372,0.0001911257,0.00004409932,0.000003459974,0.00004017134,0.9989152,0.0001442458,0.0004653516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349528,"threshold_uncertainty_score":0.5521379,"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."}}