{"id":"W6887393489","doi":"10.15468/dl.ytm2rk","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":"Matching (statistics); State (computer science); Download; Range (aeronautics); 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":[0.000928254,0.002119893,0.001554235,0.00489577,0.001001324,0.002462613,0.002794749,0.001969871,0.15886],"category_scores_gemma":[0.005690551,0.0009563718,0.001211989,0.009855238,0.0004493707,0.002261351,0.002593554,0.001972157,0.2184385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509873,"about_ca_system_score_gemma":0.002234819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060487,"about_ca_topic_score_gemma":0.03511856,"domain_scores_codex":[0.9989404,0.0001418271,0.0001314445,0.0003838186,0.0002250799,0.0001774717],"domain_scores_gemma":[0.9975892,0.0006569725,0.0002290269,0.0006383422,0.0006068567,0.0002796143],"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":[0.00003240959,0.00001153119,0.0003804728,0.0005021918,0.00001423494,0.00001409279,0.00002092088,0.0001242588,0.0001220038,0.0003589322,0.997033,0.001385997],"study_design_scores_gemma":[0.00007920482,0.000009795542,0.001902868,0.0001729392,0.00001457755,0.00003766783,0.00006481801,0.0001514983,0.0001995853,0.0007987565,0.9965494,0.00001886817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004483738,0.00002487319,0.00004212829,0.00003118259,0.00001216053,0.000004796877,0.9988467,0.0003668382,0.0006264667],"genre_scores_gemma":[0.0001485779,0.00002989198,0.0001862416,0.00004272227,0.00000336665,0.00003863944,0.9989333,0.0001498823,0.0004673788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84114,"threshold_uncertainty_score":0.5314395,"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."}}