{"id":"W6905591747","doi":"10.15468/dl.ragu6a","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); Ceratitis capitata; Range (aeronautics); State (computer science)","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":[0.001011485,0.001973677,0.001535921,0.004843336,0.0009914219,0.002393501,0.002800575,0.002033396,0.1489081],"category_scores_gemma":[0.005708754,0.0008733597,0.001121211,0.009479546,0.000449267,0.002251644,0.002434559,0.002011904,0.2088767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572372,"about_ca_system_score_gemma":0.00224912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060402,"about_ca_topic_score_gemma":0.03425093,"domain_scores_codex":[0.9990056,0.0001387206,0.0001235005,0.00034709,0.0002195628,0.0001654957],"domain_scores_gemma":[0.9976597,0.0006684568,0.0002242934,0.0006223337,0.000551417,0.0002738471],"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":[0.00002859506,0.00001191322,0.0003751376,0.0005164483,0.00001428881,0.00001482218,0.00002329198,0.0001399379,0.0001171847,0.0003833607,0.9969444,0.001430617],"study_design_scores_gemma":[0.00007140874,0.000008187665,0.001835892,0.0001821065,0.00001372845,0.00003737137,0.00007152774,0.0001664782,0.0001929147,0.000796368,0.9966062,0.00001779624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004717189,0.00002777377,0.00004778947,0.00003593446,0.00001262044,0.000005377223,0.9987786,0.0003806691,0.0006641733],"genre_scores_gemma":[0.0001649248,0.00003163392,0.0001946715,0.00004178331,0.000003397897,0.00004138531,0.9989459,0.0001384784,0.0004377729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8510919,"threshold_uncertainty_score":0.4981474,"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."}}