{"id":"W6943419028","doi":"10.15468/dl.rigpqk","title":"Occurrence Download","year":2018,"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); The Internet","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":[0.001005098,0.001994406,0.001637018,0.004935259,0.001086922,0.002765687,0.003149428,0.002100771,0.1469782],"category_scores_gemma":[0.006493066,0.0009015997,0.001251525,0.009819757,0.000465754,0.002415931,0.002753745,0.002193984,0.2170557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161742,"about_ca_system_score_gemma":0.002568601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321112,"about_ca_topic_score_gemma":0.03822674,"domain_scores_codex":[0.998913,0.0001414858,0.0001353639,0.0003797396,0.0002457422,0.00018453],"domain_scores_gemma":[0.9974468,0.000690922,0.0002313637,0.0006954377,0.0006456422,0.000289828],"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":[0.0000261309,0.00001135088,0.0003674999,0.0004545675,0.00001433489,0.00001503378,0.00002435285,0.0001149988,0.00009476572,0.000382737,0.9971908,0.001303511],"study_design_scores_gemma":[0.00006802823,0.000007743809,0.001728042,0.0001893954,0.0000142739,0.00003928283,0.00007771786,0.0001665946,0.000179774,0.000833048,0.9966791,0.00001710021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004759904,0.00003195313,0.00005206605,0.00004399597,0.00001399591,0.000005577438,0.9986627,0.0004749762,0.0006671132],"genre_scores_gemma":[0.0001526087,0.00003309739,0.0001920118,0.00004244965,0.000003383446,0.00003816275,0.9989403,0.0001509938,0.0004470808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530218,"threshold_uncertainty_score":0.4916911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}