{"id":"W6924460913","doi":"10.15468/dl.kwvg4p","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); Range (aeronautics); Identification (biology)","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":[0.001001915,0.002020318,0.001644003,0.004946873,0.00105291,0.002699886,0.002893287,0.002165055,0.1593274],"category_scores_gemma":[0.006033625,0.0009345146,0.001187375,0.009629745,0.0004547345,0.0026044,0.002673334,0.002093878,0.2240656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604761,"about_ca_system_score_gemma":0.00229209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101189,"about_ca_topic_score_gemma":0.03727594,"domain_scores_codex":[0.9989111,0.0001528552,0.0001352472,0.0003801716,0.0002457266,0.0001748175],"domain_scores_gemma":[0.997486,0.0006979959,0.0002236779,0.0006790521,0.0006210017,0.0002922918],"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":[0.00002760233,0.00001111457,0.0003251374,0.0004770981,0.00001298744,0.00001420507,0.00002180074,0.0001083512,0.0001023818,0.0003761546,0.9972874,0.001235827],"study_design_scores_gemma":[0.00007017682,0.000007457063,0.001675573,0.0001685443,0.00001219536,0.00003494093,0.00006757436,0.0001372529,0.0001678528,0.0008116314,0.9968292,0.00001754337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004151306,0.00002689988,0.00004782432,0.00003832088,0.00001200509,0.000005497581,0.9987143,0.0004017426,0.0007118623],"genre_scores_gemma":[0.0001600873,0.00003171188,0.0001994077,0.00004687785,0.000003618001,0.0000419208,0.9988494,0.0001587361,0.0005082462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406726,"threshold_uncertainty_score":0.5330031,"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."}}