{"id":"W6962355349","doi":"10.15468/dl.wywnbn","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); Reference data","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":[0.0009655645,0.001966088,0.001529392,0.004901711,0.001073072,0.002886503,0.002941697,0.002076994,0.1783185],"category_scores_gemma":[0.00637454,0.0009616882,0.001160593,0.009548954,0.0004497971,0.002503985,0.002760295,0.002095442,0.2629433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168772,"about_ca_system_score_gemma":0.002475789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072623,"about_ca_topic_score_gemma":0.03423296,"domain_scores_codex":[0.9989548,0.000134838,0.0001289606,0.0003675718,0.0002441318,0.0001697295],"domain_scores_gemma":[0.9976203,0.0006669812,0.0001982597,0.000627702,0.000629835,0.000256952],"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":[0.0000235411,0.00000979101,0.0003084673,0.0004686491,0.00001158082,0.00001292495,0.0000217568,0.00009513309,0.00009188531,0.0003571234,0.9971871,0.001412142],"study_design_scores_gemma":[0.00005512838,0.000006357324,0.00132928,0.0001733799,0.00001153485,0.00003301596,0.00007053085,0.0001337328,0.0001799513,0.0007491012,0.9972423,0.00001573751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003720123,0.00002852888,0.00005183798,0.0000416872,0.00001278958,0.000005784519,0.9985385,0.0004800992,0.0008036365],"genre_scores_gemma":[0.0001699424,0.00003920423,0.000236988,0.00005099244,0.000003922912,0.00004985949,0.9986132,0.0002052332,0.0006304799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8216815,"threshold_uncertainty_score":0.5965349,"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."}}