{"id":"W6925029868","doi":"10.15468/dl.xwizu8","title":"Occurrence Download","year":2016,"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); Ornithology; Data collection","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":[0.001026078,0.002136151,0.001669122,0.005500341,0.001074501,0.002709858,0.003227877,0.002238537,0.1499195],"category_scores_gemma":[0.006543889,0.0009596541,0.001285149,0.01038683,0.000455556,0.002719211,0.002859607,0.002202504,0.2295808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181493,"about_ca_system_score_gemma":0.002496589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0263523,"about_ca_topic_score_gemma":0.04553068,"domain_scores_codex":[0.9988208,0.0001458435,0.0001446402,0.0003945179,0.0002940875,0.0002000324],"domain_scores_gemma":[0.9973465,0.0006326115,0.0002364083,0.0007404411,0.0007407087,0.0003033034],"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":[0.00002566696,0.00001113574,0.0003713146,0.0004164262,0.00001317688,0.00001434691,0.0000226207,0.0001161592,0.000091446,0.0003551406,0.9971516,0.00141106],"study_design_scores_gemma":[0.00006450256,0.000007601705,0.001794554,0.0001792866,0.00001217732,0.00003861248,0.00007786529,0.0001730193,0.0001827584,0.000741644,0.9967105,0.00001750061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004543602,0.00002733905,0.00005126014,0.00003694352,0.00001302525,0.00000520019,0.9986385,0.0004916839,0.0006905474],"genre_scores_gemma":[0.0001465841,0.00002897965,0.0001973185,0.00003296806,0.000003165195,0.00003442742,0.998961,0.0001540736,0.000441514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8500805,"threshold_uncertainty_score":0.5015308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}