{"id":"W6962445370","doi":"10.15468/dl.w3mfc5","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; 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":[0.001116218,0.00189091,0.001656553,0.005435877,0.00104367,0.002861416,0.002920842,0.001981258,0.1875273],"category_scores_gemma":[0.006752661,0.001005706,0.001164764,0.01129712,0.000466929,0.002380982,0.002735889,0.002015583,0.2388578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559307,"about_ca_system_score_gemma":0.002401304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120676,"about_ca_topic_score_gemma":0.03431316,"domain_scores_codex":[0.9988608,0.0001528071,0.0001523569,0.0003940497,0.0002526461,0.0001872132],"domain_scores_gemma":[0.9971827,0.000813796,0.0002699824,0.0007363994,0.000680805,0.0003163942],"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":[0.00002647779,0.000009555504,0.0003503936,0.000541309,0.00001488639,0.00001424366,0.00002474088,0.0001077885,0.0001031061,0.0003902587,0.9971187,0.00129862],"study_design_scores_gemma":[0.00006411069,0.000006607116,0.001669577,0.0001922405,0.00001428604,0.00003361504,0.00007340925,0.0001131083,0.0001657884,0.0007496096,0.9969008,0.0000167876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003328457,0.00002267937,0.00004235205,0.00003140154,0.00001071152,0.000004634188,0.9989302,0.0003156055,0.0006091723],"genre_scores_gemma":[0.0001503226,0.00003344118,0.0001881848,0.00004313346,0.000003385107,0.00004300268,0.9988703,0.0001719041,0.0004963066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8124726,"threshold_uncertainty_score":0.6273414,"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."}}