{"id":"W6924719519","doi":"10.15468/dl.xrms97","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); Alien","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":[0.0009418533,0.001903166,0.001497193,0.004397997,0.0009904918,0.002509139,0.002627272,0.002015198,0.1601033],"category_scores_gemma":[0.00605718,0.00086178,0.001255019,0.008435136,0.0004315031,0.002469896,0.002558649,0.001989897,0.2373482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468439,"about_ca_system_score_gemma":0.002222378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019921,"about_ca_topic_score_gemma":0.03351272,"domain_scores_codex":[0.9989641,0.0001486222,0.0001250446,0.000377736,0.0002190196,0.0001654847],"domain_scores_gemma":[0.9974195,0.0007220507,0.0002173065,0.0007044671,0.0006499576,0.0002866942],"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":[0.00002665998,0.00001153836,0.0003714889,0.0004469337,0.0000120726,0.00001280275,0.00002000743,0.0001160251,0.00009483114,0.0003079766,0.997219,0.001360677],"study_design_scores_gemma":[0.0000699248,0.0000095862,0.001877692,0.0001895885,0.00001302775,0.00003422907,0.00007506724,0.0001803946,0.0001788355,0.0007955808,0.9965587,0.00001727345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004776794,0.0000282768,0.00004666518,0.00004495187,0.00001538284,0.000006334017,0.9986563,0.0004569214,0.0006974476],"genre_scores_gemma":[0.0001680526,0.00003383262,0.0002083766,0.00005286644,0.000004381317,0.00004421691,0.9988128,0.0001581246,0.0005172976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398967,"threshold_uncertainty_score":0.5355989,"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."}}