{"id":"W6905976691","doi":"10.15468/dl.ptanh2","title":"Occurrence Download","year":2016,"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); Set (abstract data type); Download; 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":[0.0008892594,0.002098232,0.001591639,0.005191872,0.0008750003,0.002560459,0.00287532,0.001839787,0.1364487],"category_scores_gemma":[0.005776083,0.0008993745,0.001170643,0.01073508,0.0004098559,0.002287883,0.00262172,0.001862661,0.1989791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162356,"about_ca_system_score_gemma":0.002560117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343709,"about_ca_topic_score_gemma":0.04040366,"domain_scores_codex":[0.9989322,0.0001370306,0.0001433335,0.0003705143,0.0002424361,0.0001743869],"domain_scores_gemma":[0.9976913,0.0005884651,0.0002567161,0.0006021853,0.0005877819,0.0002736447],"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":[0.00003078371,0.00001002828,0.000432496,0.0005246081,0.00001618254,0.00001449475,0.00002224111,0.0001277208,0.0001123334,0.000440388,0.9968382,0.001430357],"study_design_scores_gemma":[0.00006260564,0.00000735818,0.001798703,0.0001776995,0.00001465349,0.00003601708,0.00005469578,0.0001371276,0.0001896562,0.0007998599,0.9967044,0.00001724602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004184388,0.00002983417,0.00004154284,0.00003043466,0.00001057256,0.000004176949,0.9988695,0.0003513201,0.000620704],"genre_scores_gemma":[0.0001469143,0.00003745851,0.0001660897,0.00003847664,0.000003038478,0.0000326032,0.9989624,0.0001289457,0.0004841056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8635513,"threshold_uncertainty_score":0.4564664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}