{"id":"W6905849787","doi":"10.15468/dl.td6qmv","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); 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":[0.001038331,0.002008713,0.001710723,0.005196265,0.0009922307,0.002676841,0.002888087,0.00218087,0.1697214],"category_scores_gemma":[0.006271566,0.0009725027,0.001160958,0.01024985,0.0004553118,0.002379506,0.002599176,0.002033394,0.2185322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572281,"about_ca_system_score_gemma":0.002374468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062834,"about_ca_topic_score_gemma":0.03389433,"domain_scores_codex":[0.9989428,0.0001444485,0.0001381887,0.0003728693,0.0002273671,0.0001744168],"domain_scores_gemma":[0.9973826,0.0007817022,0.0002535479,0.0006669218,0.0006158313,0.0002994309],"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":[0.00003206246,0.00001241964,0.0003928184,0.0006432571,0.0000166286,0.00001737077,0.00002618727,0.0001323487,0.0001256927,0.0004131746,0.996807,0.001381068],"study_design_scores_gemma":[0.00008118637,0.000008209468,0.00186171,0.0002084725,0.00001529547,0.00003909607,0.0000737168,0.0001414222,0.0001821386,0.0008254654,0.9965442,0.00001913713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003845961,0.00002497646,0.00004333639,0.00003194937,0.00001005067,0.000005050431,0.9989043,0.0003529711,0.0005887406],"genre_scores_gemma":[0.0001654164,0.00003333979,0.0002018195,0.00004545039,0.000003285659,0.00004470762,0.9988991,0.0001579672,0.0004488307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8302786,"threshold_uncertainty_score":0.5677747,"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."}}