{"id":"W6943372519","doi":"10.15468/dl.sd0k6x","title":"Occurrence Download","year":2019,"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); Order (exchange)","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":[0.001012602,0.001877258,0.001520508,0.005775318,0.0009211501,0.002409879,0.002610305,0.001721845,0.1800288],"category_scores_gemma":[0.005960326,0.0008861463,0.001121466,0.01077472,0.0004265665,0.002346526,0.002796034,0.001847509,0.2537047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503299,"about_ca_system_score_gemma":0.002264011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01998221,"about_ca_topic_score_gemma":0.03530227,"domain_scores_codex":[0.9988856,0.0001406953,0.0001511438,0.0003806621,0.0002522072,0.0001898252],"domain_scores_gemma":[0.9973491,0.0006664718,0.0002629565,0.0007106741,0.000687484,0.0003233155],"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":[0.00002831301,0.000009403444,0.0003470026,0.0004858126,0.0000134358,0.00001336716,0.00002162537,0.00009728092,0.0001163082,0.0003585258,0.9970516,0.001457303],"study_design_scores_gemma":[0.00005800014,0.000007140342,0.001825318,0.0001707841,0.00001214084,0.00003251515,0.00006379644,0.000107905,0.0001779607,0.0006678201,0.9968615,0.00001508924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000336655,0.00002101117,0.00003866222,0.00002705989,0.00001089748,0.000004856686,0.9988886,0.0003405366,0.0006347928],"genre_scores_gemma":[0.0001345087,0.0000282999,0.0001777414,0.00003551164,0.000003611704,0.00003536851,0.9990034,0.0001452583,0.0004363726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8199713,"threshold_uncertainty_score":0.6022562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}