{"id":"W6887132226","doi":"10.15468/dl.rxwmmx","title":"Occurrence Download","year":2019,"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); Data set; Order (exchange)","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":[0.0009241817,0.001858804,0.001583161,0.005447675,0.0009660614,0.0025567,0.002719094,0.001840535,0.1639814],"category_scores_gemma":[0.005574827,0.0008847446,0.001100845,0.01110303,0.0004253896,0.002124765,0.002641939,0.001831887,0.2261811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619347,"about_ca_system_score_gemma":0.002447936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02476925,"about_ca_topic_score_gemma":0.04172757,"domain_scores_codex":[0.9989874,0.0001287236,0.0001378229,0.000338389,0.0002296607,0.0001781069],"domain_scores_gemma":[0.9975966,0.0006169553,0.0002387877,0.0006332494,0.0006275268,0.0002869032],"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":[0.00003253519,0.00001059945,0.0003832593,0.0006147076,0.00001647442,0.00001581452,0.00002526932,0.0001164383,0.0001379496,0.0004369844,0.9965867,0.001623177],"study_design_scores_gemma":[0.00005999131,0.000006560913,0.001690051,0.0001823371,0.00001368844,0.00003302773,0.00006070287,0.0001050379,0.0001781108,0.0006953462,0.9969594,0.00001572354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003520981,0.00002587056,0.00003712494,0.00002693779,0.000009266217,0.000004457935,0.9989256,0.000313716,0.0006217657],"genre_scores_gemma":[0.0001401218,0.00003458313,0.0001671343,0.00003799235,0.000002962319,0.00003414634,0.9990295,0.0001302501,0.000423356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360186,"threshold_uncertainty_score":0.5485724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}