{"id":"W6905594773","doi":"10.15468/dl.q9p8hb","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); 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":[0.001115574,0.001961055,0.001656085,0.00512769,0.001040413,0.002667487,0.002901989,0.002017081,0.1736468],"category_scores_gemma":[0.006264367,0.0009579667,0.001138059,0.01016107,0.0004605745,0.00229247,0.002641461,0.002069735,0.2312554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655,"about_ca_system_score_gemma":0.002437123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272206,"about_ca_topic_score_gemma":0.03705817,"domain_scores_codex":[0.9989098,0.0001463988,0.0001396844,0.0003775613,0.0002461874,0.0001803643],"domain_scores_gemma":[0.9973309,0.0007651498,0.0002606972,0.0006861817,0.0006472837,0.0003098434],"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":[0.00002699764,0.00001051477,0.000353144,0.000512449,0.00001481384,0.0000139661,0.00002412121,0.0001131034,0.000113489,0.0003941071,0.9971763,0.001247068],"study_design_scores_gemma":[0.0000708037,0.000007349389,0.001845002,0.0001947857,0.0000148836,0.00003600405,0.00007236004,0.0001281271,0.0001779331,0.0007547669,0.9966801,0.00001784552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003406275,0.00002248417,0.0000410127,0.00003183636,0.00001075601,0.000004425217,0.9989503,0.0003125719,0.0005926146],"genre_scores_gemma":[0.0001390191,0.00002963423,0.000179874,0.00004014332,0.000003087248,0.00003771972,0.9989859,0.0001465535,0.00043809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263532,"threshold_uncertainty_score":0.5809065,"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."}}