{"id":"W6905913625","doi":"10.15468/dl.q9djg7","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); Process (computing); Identification (biology); Range (aeronautics)","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":[0.0009415842,0.002071253,0.001696803,0.005096031,0.001011338,0.002582341,0.002945394,0.00206809,0.1396701],"category_scores_gemma":[0.005582366,0.0009073569,0.001155272,0.01041461,0.0004474167,0.002223148,0.002581676,0.001980001,0.197934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629172,"about_ca_system_score_gemma":0.002550014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02630212,"about_ca_topic_score_gemma":0.04393869,"domain_scores_codex":[0.9989629,0.0001356078,0.0001262249,0.0003657488,0.0002356273,0.0001739046],"domain_scores_gemma":[0.9978099,0.0005899304,0.0002139637,0.0005617657,0.0005469134,0.0002774886],"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":[0.0000309652,0.00001132768,0.0003994984,0.0005884602,0.00001733261,0.00001614494,0.00002654711,0.0001339856,0.0001353317,0.0004038882,0.9968151,0.00142148],"study_design_scores_gemma":[0.00007294922,0.000007693251,0.001969787,0.0001900222,0.00001565259,0.00003756104,0.00007414776,0.0001426067,0.0002004542,0.0007335986,0.996537,0.00001864698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004186461,0.00002896612,0.00004128554,0.00003115252,0.00001018016,0.000004483753,0.9989116,0.0003607459,0.0005697179],"genre_scores_gemma":[0.0001548511,0.00003191419,0.000175268,0.00003875585,0.000002817598,0.0000344494,0.9990366,0.0001304424,0.0003949772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8603299,"threshold_uncertainty_score":0.4672432,"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."}}