{"id":"W6905811670","doi":"10.15468/dl.kwkrc4","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); Download; Ophiostoma; 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":[0.0009208066,0.00201002,0.001564315,0.004917496,0.000975785,0.002513404,0.002726975,0.001928422,0.1689907],"category_scores_gemma":[0.0056922,0.0009076258,0.001149332,0.009572388,0.000413129,0.002359117,0.002498596,0.001901984,0.2193684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582397,"about_ca_system_score_gemma":0.002208169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005408,"about_ca_topic_score_gemma":0.03325876,"domain_scores_codex":[0.9989819,0.0001351181,0.0001265353,0.0003675203,0.0002162858,0.0001726033],"domain_scores_gemma":[0.9977617,0.0006214501,0.0002154103,0.000556139,0.0005797553,0.0002655334],"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":[0.00003219603,0.00001080183,0.0003812025,0.0005677559,0.00001487706,0.0000144085,0.00002029397,0.0001205843,0.0001168719,0.0003817045,0.996928,0.001411182],"study_design_scores_gemma":[0.00007566909,0.000009011093,0.001839846,0.0001910531,0.00001441975,0.00003644745,0.00006123961,0.0001344794,0.0001742707,0.0008026508,0.9966428,0.00001818753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003779044,0.00002663618,0.00003629969,0.00003098863,0.00001112552,0.00000436431,0.9989346,0.0002938354,0.0006243316],"genre_scores_gemma":[0.0001487066,0.00003466679,0.0001761047,0.00004517828,0.000003432343,0.00003747326,0.9989404,0.0001311919,0.0004828487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8310093,"threshold_uncertainty_score":0.5653304,"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."}}