{"id":"W6905886300","doi":"10.15468/dl.ryarrr","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":"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":[0.0009388836,0.001866025,0.001588049,0.005080225,0.001083727,0.003071196,0.002793039,0.001879271,0.2001654],"category_scores_gemma":[0.006420807,0.0009296077,0.001347018,0.009892312,0.0004119331,0.002656014,0.002858334,0.001950031,0.2874893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446701,"about_ca_system_score_gemma":0.002373521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975476,"about_ca_topic_score_gemma":0.03206951,"domain_scores_codex":[0.998882,0.0001383332,0.0001414079,0.0004038529,0.0002399545,0.0001944768],"domain_scores_gemma":[0.9974144,0.0006853353,0.0002109581,0.000713305,0.0007062228,0.000269763],"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":[0.00002904327,0.000009470136,0.0004244217,0.0005239034,0.00001459485,0.00001656266,0.00002634131,0.0001184271,0.0001213796,0.000394432,0.9963887,0.001932828],"study_design_scores_gemma":[0.00004777891,0.000006508484,0.001541905,0.0001575265,0.00001206814,0.00003333709,0.00007497013,0.0001474391,0.000167346,0.0007360475,0.9970593,0.00001575322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004643563,0.00003078824,0.00006725211,0.00004375861,0.00001732359,0.00000618764,0.9982176,0.0006539029,0.0009166826],"genre_scores_gemma":[0.0001874469,0.00004146335,0.0002639939,0.00005419508,0.000004921366,0.00004593524,0.9984691,0.0002515734,0.0006814127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7998346,"threshold_uncertainty_score":0.66962,"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."}}