{"id":"W6887315211","doi":"10.15468/dl.xnetdt","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); Set (abstract data type); 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":[0.001125534,0.002036249,0.001686142,0.005417832,0.001100464,0.002884509,0.002993045,0.002106301,0.1779697],"category_scores_gemma":[0.006711164,0.0009982046,0.0011856,0.0105935,0.0004664524,0.002562413,0.002761487,0.002103778,0.2437671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685693,"about_ca_system_score_gemma":0.002519369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203747,"about_ca_topic_score_gemma":0.03568258,"domain_scores_codex":[0.9987993,0.0001586554,0.0001584938,0.0004190273,0.0002727644,0.0001917454],"domain_scores_gemma":[0.9972499,0.0008014468,0.0002541178,0.0007122107,0.0006742664,0.0003079621],"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":[0.0000276796,0.000009934133,0.0003237075,0.0005246178,0.00001410466,0.00001458073,0.00002408504,0.0001076126,0.000110958,0.0004020237,0.9971176,0.001323035],"study_design_scores_gemma":[0.0000606061,0.000006531329,0.001501412,0.0001869598,0.00001346617,0.00003426776,0.00006816396,0.0001230429,0.000172766,0.0007582977,0.9970574,0.00001708544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003296435,0.00002441297,0.00004722371,0.00003320164,0.00001135852,0.000004567545,0.9988361,0.0003621539,0.0006479949],"genre_scores_gemma":[0.0001377965,0.00003355252,0.0001950924,0.00004270285,0.000003257921,0.00003799766,0.998904,0.0001705627,0.0004750939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8220303,"threshold_uncertainty_score":0.595368,"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."}}