{"id":"W6943510941","doi":"10.15468/dl.qg4xnj","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); State (computer science); Confidentiality","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":[0.001005156,0.001984901,0.001509979,0.005031371,0.001012108,0.002426371,0.002862631,0.002124696,0.1466208],"category_scores_gemma":[0.005782447,0.0008881362,0.001149359,0.009431143,0.0004633823,0.002321909,0.002522181,0.002049385,0.2023043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570785,"about_ca_system_score_gemma":0.002268207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160633,"about_ca_topic_score_gemma":0.03714789,"domain_scores_codex":[0.9989779,0.0001450214,0.0001293994,0.0003572257,0.0002216027,0.000168777],"domain_scores_gemma":[0.9975066,0.000711224,0.0002347786,0.0006702957,0.000581652,0.0002955857],"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":[0.00002888541,0.00001300721,0.0003869352,0.0005002516,0.00001403817,0.00001585376,0.00002507333,0.0001317438,0.0001163044,0.0003825113,0.9970188,0.001366498],"study_design_scores_gemma":[0.00007565909,0.000008595504,0.001919047,0.00017942,0.00001367443,0.00004121025,0.00008011299,0.0001697227,0.0001877836,0.0007821416,0.9965244,0.00001831385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005206742,0.00002788861,0.00005095479,0.00003925288,0.00001356289,0.000005746607,0.9987356,0.0004068618,0.0006680663],"genre_scores_gemma":[0.0001684145,0.00003041334,0.0002036965,0.00004312441,0.000003468515,0.00004151405,0.9989238,0.0001400956,0.0004453578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533792,"threshold_uncertainty_score":0.4904953,"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."}}