{"id":"W6961915688","doi":"10.15468/dl.unpc2p","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); 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":[0.000946602,0.001969691,0.001592467,0.005427466,0.0009827529,0.002463519,0.002724424,0.002049461,0.1636401],"category_scores_gemma":[0.005797269,0.0008879149,0.001157199,0.01052223,0.0004521615,0.002213128,0.002597179,0.001842605,0.2170373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548614,"about_ca_system_score_gemma":0.002336326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331524,"about_ca_topic_score_gemma":0.03862054,"domain_scores_codex":[0.9989322,0.0001347853,0.000140887,0.000349794,0.0002561442,0.0001861874],"domain_scores_gemma":[0.9976369,0.0006359816,0.0002175633,0.0006111737,0.0006306981,0.0002677392],"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":[0.00003021661,0.00001115716,0.0003835757,0.0005638349,0.00001529251,0.00001663338,0.00002383179,0.0001336129,0.0001329376,0.0003637825,0.9967495,0.001575594],"study_design_scores_gemma":[0.00006992104,0.000008564761,0.001980618,0.0002032678,0.00001526371,0.00004213733,0.00007632101,0.0001435645,0.0002058952,0.0006880761,0.9965479,0.00001867124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308989,0.00002880591,0.00004219549,0.00003136346,0.00001089631,0.000004929294,0.9988461,0.0003683304,0.0006243481],"genre_scores_gemma":[0.0001656821,0.00003410238,0.0001770823,0.00004020619,0.000003194895,0.00003741152,0.998962,0.0001369901,0.0004433052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.83636,"threshold_uncertainty_score":0.5474305,"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."}}