{"id":"W6962385697","doi":"10.15468/dl.zmanyu","title":"Occurrence Download","year":2017,"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); Odocoileus; Range (aeronautics); Data set","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":[0.0009383355,0.002039155,0.001568791,0.005136901,0.0009713119,0.002509566,0.002968892,0.002073934,0.1156263],"category_scores_gemma":[0.005748142,0.0008257424,0.001225848,0.01001679,0.0004548439,0.002214142,0.002580891,0.002023892,0.189095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615021,"about_ca_system_score_gemma":0.002502665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250675,"about_ca_topic_score_gemma":0.03721624,"domain_scores_codex":[0.9989489,0.0001397002,0.000135688,0.000350224,0.0002469262,0.0001785975],"domain_scores_gemma":[0.9977259,0.0005863389,0.0002221016,0.0006224028,0.0005719486,0.0002712687],"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":[0.00002882073,0.00001290115,0.0004527453,0.0004657684,0.00001589345,0.00001720487,0.00002501184,0.0001545371,0.0001135018,0.0004003009,0.9967739,0.001539379],"study_design_scores_gemma":[0.00007247307,0.00000898246,0.002077496,0.0001947684,0.00001538183,0.00004673005,0.00008648434,0.0002097666,0.0002068874,0.0008376312,0.9962246,0.0000187745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005870802,0.00003496357,0.00005236764,0.00004175201,0.00001481605,0.000005742776,0.9987268,0.000446619,0.000618174],"genre_scores_gemma":[0.0001534346,0.00003146769,0.0001752719,0.00003429631,0.000003238776,0.00003297933,0.9991041,0.0001105135,0.0003546579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8843737,"threshold_uncertainty_score":0.3868085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}