{"id":"W6924457948","doi":"10.15468/dl.q9ilsk","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); 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":[0.0009969966,0.00201874,0.001671834,0.005502937,0.0009512474,0.002708124,0.002932636,0.002015705,0.1470787],"category_scores_gemma":[0.006109204,0.0009120934,0.001216466,0.01140971,0.0004320914,0.002411589,0.002767576,0.002018668,0.2130835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629976,"about_ca_system_score_gemma":0.002539498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318524,"about_ca_topic_score_gemma":0.03904377,"domain_scores_codex":[0.9988441,0.0001513196,0.0001536522,0.0003953932,0.0002670013,0.0001886125],"domain_scores_gemma":[0.9974493,0.0006661816,0.0002652144,0.0006750124,0.0006298934,0.0003144853],"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":[0.00002667504,0.00001035487,0.0004014927,0.0005018542,0.0000156219,0.00001432212,0.00002331632,0.0001198935,0.0001004929,0.0003886451,0.9970165,0.001380821],"study_design_scores_gemma":[0.00006391438,0.000007242375,0.001903115,0.0001892015,0.00001443144,0.00003757981,0.00006901965,0.0001413467,0.0001718015,0.0007233613,0.9966625,0.00001654456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004145731,0.00002945137,0.00004279505,0.00003401429,0.00001139079,0.000004545773,0.9989027,0.0003377091,0.0005959735],"genre_scores_gemma":[0.0001423013,0.00003435876,0.0001589885,0.00003764305,0.000003119381,0.00003293819,0.9990282,0.0001184082,0.0004440442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529212,"threshold_uncertainty_score":0.4920274,"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."}}