{"id":"W6887075639","doi":"10.15468/dl.m5pnrz","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); The Internet; Data set","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":[0.0009635997,0.001969377,0.001635333,0.004794305,0.001001741,0.002639158,0.002805101,0.00204746,0.1730701],"category_scores_gemma":[0.005959687,0.0009350749,0.001156733,0.009594755,0.0004402761,0.002589273,0.002685601,0.002064814,0.2430272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547582,"about_ca_system_score_gemma":0.00228341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002662,"about_ca_topic_score_gemma":0.03687444,"domain_scores_codex":[0.9989518,0.0001479419,0.0001266383,0.0003762756,0.0002299076,0.000167456],"domain_scores_gemma":[0.9974388,0.0007004808,0.0002294591,0.0007050133,0.0006267374,0.0002994318],"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":[0.00002487512,0.00001003064,0.000300654,0.0004634263,0.00001212205,0.00001237767,0.00002021053,0.0001021514,0.00009048853,0.0003519097,0.9974133,0.001198383],"study_design_scores_gemma":[0.00006550569,0.000007152569,0.001512196,0.0001659621,0.00001139388,0.00003061369,0.00006178352,0.0001279916,0.0001537526,0.000800568,0.9970469,0.00001608854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003632615,0.00002471357,0.00004380353,0.00003554423,0.00001129748,0.000005169847,0.9987697,0.0003853048,0.0006880785],"genre_scores_gemma":[0.0001543283,0.00003291476,0.0002023956,0.00004785184,0.000003634325,0.00004178443,0.9988031,0.000170232,0.0005437549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8269299,"threshold_uncertainty_score":0.5789772,"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."}}