{"id":"W6924725793","doi":"10.15468/dl.se7wxx","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008712594,0.001730782,0.001456347,0.004183332,0.0009065485,0.002588106,0.002679353,0.001898695,0.1429823],"category_scores_gemma":[0.005848042,0.0007724845,0.001284403,0.008066283,0.0003968477,0.002095858,0.002302793,0.001839659,0.2097875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142807,"about_ca_system_score_gemma":0.002169634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913719,"about_ca_topic_score_gemma":0.03112472,"domain_scores_codex":[0.9990416,0.0001286455,0.0001208801,0.0003494713,0.0002012632,0.0001580681],"domain_scores_gemma":[0.9979367,0.000576408,0.0001716509,0.0005714745,0.0005268689,0.0002168349],"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":[0.00003403794,0.00001246707,0.0005612951,0.0005518083,0.00001778678,0.00001855095,0.00002460629,0.0001953461,0.0001185233,0.0004641913,0.9959632,0.002038142],"study_design_scores_gemma":[0.00007329948,0.000008738743,0.001982074,0.000178953,0.00001479663,0.00003853942,0.00008285073,0.0002735033,0.0001922371,0.00105491,0.9960824,0.00001761136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005827352,0.00003232904,0.00006451312,0.0000452233,0.00001475633,0.000006438358,0.9984826,0.0005622032,0.0007336251],"genre_scores_gemma":[0.0002295232,0.00004101353,0.0002736444,0.00005344716,0.000004373938,0.00004957974,0.9986161,0.0001652656,0.0005670511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570177,"threshold_uncertainty_score":0.4783235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05628766592820833,"score_gpt":0.3062486423872709,"score_spread":0.2499609764590626,"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."}}