{"id":"W6962339651","doi":"10.15468/dl.uw5j83","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); Ophiostoma; Alien; Range (aeronautics)","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":[0.0009354405,0.001939911,0.001533073,0.005006767,0.0009947248,0.002670537,0.002685606,0.001961412,0.1760808],"category_scores_gemma":[0.006382037,0.0008931856,0.001195019,0.009693226,0.0004138066,0.002310804,0.002553752,0.001879769,0.2312227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560669,"about_ca_system_score_gemma":0.002291617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933239,"about_ca_topic_score_gemma":0.03195637,"domain_scores_codex":[0.9989226,0.0001478656,0.0001363983,0.0003924311,0.0002270273,0.0001736673],"domain_scores_gemma":[0.9975898,0.0007094153,0.0002255073,0.0006046467,0.0006160178,0.0002546137],"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":[0.00002920813,0.00001069086,0.0003799745,0.0005653645,0.00001424103,0.00001419934,0.00002086481,0.000113548,0.0001119045,0.0003625425,0.9968772,0.001500351],"study_design_scores_gemma":[0.00006407826,0.000008699757,0.001739551,0.0001942973,0.00001443388,0.00003454732,0.00006243858,0.0001410575,0.0001797404,0.0007610193,0.9967824,0.00001770041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004013254,0.00002867834,0.00004318394,0.00003576911,0.00001241657,0.000005392269,0.9987881,0.0003765655,0.0006698501],"genre_scores_gemma":[0.000164598,0.0000388736,0.0001999114,0.00004984775,0.000003980303,0.00004960879,0.9987668,0.0001633638,0.0005631024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8239192,"threshold_uncertainty_score":0.5890489,"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."}}