{"id":"W6905724047","doi":"10.15468/dl.npswgm","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; Phytophthora ramorum; Matching (statistics); Range (aeronautics); Species name","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":[0.001033934,0.001888037,0.001640827,0.005048263,0.0009631049,0.002668318,0.002758908,0.002063876,0.1728712],"category_scores_gemma":[0.006375811,0.0009147936,0.001132052,0.009644919,0.0004325261,0.002369786,0.002531239,0.001980559,0.2311971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499506,"about_ca_system_score_gemma":0.002242777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755129,"about_ca_topic_score_gemma":0.02937666,"domain_scores_codex":[0.9989372,0.0001483093,0.0001359338,0.000378073,0.0002283317,0.0001721025],"domain_scores_gemma":[0.9973798,0.0007819692,0.0002513673,0.0006751972,0.0006060512,0.0003055526],"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":[0.00002906184,0.00001086377,0.0003670639,0.0005582361,0.00001495826,0.00001397866,0.00002186566,0.000119393,0.0001134646,0.0003694189,0.9970608,0.001320864],"study_design_scores_gemma":[0.00007530409,0.000008527203,0.001853728,0.0002053822,0.0000153076,0.00003654912,0.00007133654,0.0001479517,0.0001853015,0.0008254546,0.9965572,0.00001795554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003797492,0.00002560678,0.00004182798,0.0000336038,0.00001112133,0.000004891682,0.9989387,0.0003185334,0.0005877825],"genre_scores_gemma":[0.0001599024,0.00003354804,0.0001853493,0.00004604874,0.000003560762,0.00004327038,0.9989116,0.0001405236,0.0004761176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8271288,"threshold_uncertainty_score":0.5783118,"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."}}