{"id":"W6905753719","doi":"10.15468/dl.txctof","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":"Herpetology; Extant taxon; Download; Field (mathematics); Natural history; Matching (statistics)","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":[0.001006171,0.002055167,0.001823092,0.006149829,0.001134973,0.00319481,0.00296293,0.001995077,0.2542155],"category_scores_gemma":[0.00698021,0.001015632,0.001330098,0.01217586,0.0004349252,0.003039726,0.003071616,0.002010794,0.3475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767534,"about_ca_system_score_gemma":0.00248178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175294,"about_ca_topic_score_gemma":0.03538312,"domain_scores_codex":[0.9988468,0.0001322753,0.0001571848,0.0004155428,0.0002537576,0.0001944548],"domain_scores_gemma":[0.9972177,0.0007190073,0.0002364434,0.0007125612,0.0008087675,0.0003055857],"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":[0.00002639476,0.000007968059,0.0003224901,0.000597704,0.00001378021,0.00001382863,0.00002390225,0.00008999084,0.0001039654,0.0003925815,0.9966553,0.001752094],"study_design_scores_gemma":[0.00004610982,0.000005643432,0.00122811,0.0001734998,0.00001140024,0.00002733188,0.00006257661,0.00009438195,0.0001412975,0.0006243578,0.9975713,0.00001405389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002591915,0.0000220892,0.00004398924,0.00002755129,0.00001135238,0.000004636299,0.9987336,0.0003881924,0.0007427866],"genre_scores_gemma":[0.0001225749,0.00003731841,0.000225796,0.00004186233,0.000003836964,0.00004358211,0.9986621,0.0002280664,0.0006347442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7457845,"threshold_uncertainty_score":0.8504357,"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."}}