{"id":"W6887077119","doi":"10.15468/dl.nquyqf","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); Field (mathematics); Reference data","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":[0.0009813692,0.001965369,0.001659175,0.005235788,0.0009774696,0.002598595,0.002835245,0.002054715,0.1520287],"category_scores_gemma":[0.005467351,0.0009239044,0.001132227,0.01035352,0.0004384613,0.002230264,0.002566076,0.002002712,0.2009855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602346,"about_ca_system_score_gemma":0.002307303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128851,"about_ca_topic_score_gemma":0.03593224,"domain_scores_codex":[0.999011,0.0001326712,0.0001263175,0.0003412382,0.000221112,0.0001674768],"domain_scores_gemma":[0.9977747,0.0006313993,0.0002251768,0.0005638025,0.0005327137,0.0002722004],"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":[0.00003267336,0.00001243409,0.0004076829,0.0006390533,0.00001689731,0.00001821054,0.00002806316,0.0001331256,0.0001516906,0.0004535719,0.996673,0.001433696],"study_design_scores_gemma":[0.00007369917,0.000007731805,0.001883997,0.000194368,0.00001516003,0.00003929947,0.00007455035,0.0001324898,0.0002042375,0.0007477368,0.996609,0.00001776085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004252357,0.00002757888,0.00004382278,0.00003207797,0.00000995522,0.000004838364,0.998875,0.0003412067,0.0006230328],"genre_scores_gemma":[0.0001634228,0.00003390065,0.0001898155,0.00004171211,0.000002912101,0.00003955122,0.9989513,0.0001434205,0.000433966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479713,"threshold_uncertainty_score":0.5085866,"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."}}