{"id":"W6887106152","doi":"10.15468/dl.qwudgz","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":[0.0009019816,0.001902901,0.001566922,0.004808577,0.001050664,0.002906322,0.002704854,0.001824502,0.1891143],"category_scores_gemma":[0.006117557,0.0009337692,0.001351035,0.009275854,0.0004039239,0.002579369,0.002818537,0.001922695,0.286554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405129,"about_ca_system_score_gemma":0.002315275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085201,"about_ca_topic_score_gemma":0.03220496,"domain_scores_codex":[0.9989535,0.0001260877,0.0001304437,0.0003797145,0.0002294856,0.0001807836],"domain_scores_gemma":[0.9975858,0.0006213849,0.0001945763,0.0006826206,0.0006661733,0.0002494267],"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":[0.00002881984,0.000009390777,0.0004124513,0.0005188034,0.00001418419,0.00001629923,0.0000263357,0.0001183678,0.0001245065,0.0003905835,0.9963259,0.002014251],"study_design_scores_gemma":[0.00004745878,0.00000636441,0.001440557,0.0001523529,0.00001118244,0.00003213587,0.00007151881,0.0001436766,0.0001699146,0.0007101112,0.9971995,0.00001516396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004928508,0.000032866,0.00007329763,0.00004380371,0.00001839504,0.00000647665,0.9980931,0.0007506869,0.0009321641],"genre_scores_gemma":[0.0001845007,0.00004209686,0.000281432,0.00005082715,0.000005007302,0.00004500992,0.9984652,0.0002676708,0.0006582809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8108857,"threshold_uncertainty_score":0.6326504,"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."}}