{"id":"W6905998290","doi":"10.15468/dl.xwun65","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); Range (aeronautics); Download; State (computer science); Set (abstract data type)","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":[0.0008920263,0.002042387,0.001531129,0.004818733,0.0009709672,0.002448554,0.002800606,0.001946656,0.1578016],"category_scores_gemma":[0.005427504,0.0009144642,0.001156033,0.00947943,0.0004413362,0.002222028,0.002483647,0.001919922,0.2200764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014792,"about_ca_system_score_gemma":0.002221633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899266,"about_ca_topic_score_gemma":0.03282583,"domain_scores_codex":[0.9989865,0.0001404212,0.0001253958,0.0003684388,0.0002100158,0.000169159],"domain_scores_gemma":[0.9977527,0.0006159331,0.000220435,0.0005869449,0.0005609418,0.0002630621],"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":[0.00003127884,0.00001100847,0.000384508,0.0005001542,0.00001432343,0.00001392373,0.00002000029,0.000126914,0.0001162635,0.0003726431,0.9970341,0.001374971],"study_design_scores_gemma":[0.00007523284,0.000009511316,0.001807895,0.0001752074,0.00001458447,0.00003769354,0.00006258949,0.0001470078,0.0001885533,0.0008450774,0.9966183,0.00001834748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004245177,0.00002570583,0.00003895634,0.00003061736,0.000011945,0.000004457109,0.9989225,0.0003135045,0.0006098325],"genre_scores_gemma":[0.0001496137,0.00003157279,0.0001789302,0.00004356043,0.000003451214,0.00003722764,0.9989558,0.0001289082,0.0004707818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421984,"threshold_uncertainty_score":0.5278988,"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."}}