{"id":"W6905906678","doi":"10.15468/dl.qfuuht","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009109323,0.002006909,0.001640706,0.005421305,0.001094864,0.002691065,0.002945228,0.001939695,0.1524917],"category_scores_gemma":[0.00547649,0.000923043,0.001148271,0.01182262,0.0004718881,0.002361493,0.002670944,0.002098395,0.2175118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972161,"about_ca_system_score_gemma":0.00313676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04089866,"about_ca_topic_score_gemma":0.06970027,"domain_scores_codex":[0.9989389,0.000127476,0.000130428,0.0003753924,0.000246413,0.0001814975],"domain_scores_gemma":[0.997521,0.0006227375,0.0002329758,0.000645749,0.0006799605,0.000297552],"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":[0.00002807605,0.000009967792,0.0003495744,0.0004933691,0.00001455423,0.00001543465,0.00002631052,0.0001173486,0.0001134849,0.0004550329,0.9970994,0.001277554],"study_design_scores_gemma":[0.00005689131,0.000005346471,0.00162629,0.0001570176,0.00001248281,0.00003140944,0.000068277,0.0001176881,0.0001799534,0.000790522,0.9969363,0.00001772908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003191321,0.00002070496,0.00004002882,0.00002793079,0.000009184319,0.000004023812,0.9988953,0.0003530512,0.0006178468],"genre_scores_gemma":[0.0001372471,0.00002883154,0.0001809854,0.00003433473,0.00000259784,0.00003113761,0.9989821,0.0001494631,0.000453164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475083,"threshold_uncertainty_score":0.5101357,"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."}}