{"id":"W6962028120","doi":"10.15468/dl.mvtsw2","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); Lithobates; Range (aeronautics); 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":[0.0006706754,0.002414837,0.00183388,0.005908091,0.001348724,0.003388092,0.002681321,0.002734961,0.2455025],"category_scores_gemma":[0.006301849,0.0008522734,0.001638857,0.00899191,0.0004053042,0.003973049,0.003186339,0.002186422,0.3604767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512852,"about_ca_system_score_gemma":0.002283174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687941,"about_ca_topic_score_gemma":0.03566376,"domain_scores_codex":[0.9988433,0.0001362138,0.000162323,0.0004080432,0.0002639111,0.0001861946],"domain_scores_gemma":[0.9976793,0.0006016198,0.0001739182,0.0005524079,0.0007081068,0.0002847001],"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":[0.00004627941,0.00001491072,0.0004229896,0.0006673849,0.00001382859,0.00002943792,0.00002339155,0.0001201132,0.0001237508,0.0004415929,0.9942827,0.003813611],"study_design_scores_gemma":[0.00004941639,0.00001189341,0.001099854,0.0001864498,0.0000135051,0.00006863705,0.00008258817,0.0002816342,0.0001699406,0.001104319,0.9969126,0.00001922005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001241518,0.0001757667,0.0001915862,0.0001178242,0.00005440678,0.00001525917,0.9939659,0.002074282,0.003280776],"genre_scores_gemma":[0.0004310297,0.0001268744,0.0006121498,0.0001361652,0.00001521503,0.00004990939,0.9964756,0.0004277329,0.00172534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7544975,"threshold_uncertainty_score":0.8212879,"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."}}