{"id":"W6924726887","doi":"10.15468/dl.n6varq","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Download; Extant taxon; Mammal; Field (mathematics); Natural history","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":["insufficient_payload"],"category_scores_codex":[0.0008700876,0.002645229,0.002176719,0.007234192,0.001324699,0.003885895,0.002495833,0.002496572,0.3986632],"category_scores_gemma":[0.006709222,0.00100215,0.001832854,0.0101324,0.0004256021,0.003635001,0.003676495,0.002395311,0.4828091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489914,"about_ca_system_score_gemma":0.00276413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157567,"about_ca_topic_score_gemma":0.03696002,"domain_scores_codex":[0.9987557,0.0001463631,0.0001737548,0.0004432515,0.0002651381,0.0002158197],"domain_scores_gemma":[0.9968774,0.0008859838,0.0002393543,0.0007377483,0.0007696422,0.0004899234],"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":[0.00004102484,0.00001483372,0.000243656,0.0005186698,0.00001099401,0.0000171898,0.00002272421,0.00009542909,0.0000829633,0.000389617,0.995839,0.002724079],"study_design_scores_gemma":[0.00008126091,0.00001210141,0.001007159,0.0001807136,0.00001501721,0.00003920167,0.00008039472,0.0002218055,0.0001397438,0.001202303,0.9969969,0.00002352276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005671962,0.0000714646,0.0001149293,0.00008030653,0.00003950985,0.00001407298,0.9949538,0.001777297,0.002891889],"genre_scores_gemma":[0.0002531139,0.00009968109,0.000561567,0.0001397143,0.00001358927,0.00007019878,0.9959825,0.0006212498,0.002258379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6013368,"threshold_uncertainty_score":0.857734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243272716214067,"score_gpt":0.2292311608708599,"score_spread":0.2167984337087192,"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."}}