{"id":"W6962331608","doi":"10.15468/dl.ksm8f7","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); Alien; 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":[0.0009713082,0.00196218,0.001565761,0.005035882,0.001007388,0.002651681,0.00264981,0.002126155,0.1659478],"category_scores_gemma":[0.006379601,0.0008701659,0.001248865,0.009194063,0.0004307209,0.002398782,0.00255778,0.001960321,0.2316577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525723,"about_ca_system_score_gemma":0.002298968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212698,"about_ca_topic_score_gemma":0.03285838,"domain_scores_codex":[0.9989598,0.0001450113,0.0001313832,0.0003700867,0.0002212046,0.0001724632],"domain_scores_gemma":[0.9973303,0.0008118954,0.0002295285,0.0006871852,0.0006507417,0.0002903837],"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":[0.00002878873,0.00001168464,0.0003970246,0.0005233111,0.00001329979,0.00001570903,0.00002217144,0.0001193847,0.0001098723,0.0003265516,0.9969584,0.001473668],"study_design_scores_gemma":[0.00007188175,0.000009732497,0.001951043,0.0002214018,0.00001484445,0.00003986448,0.00008442176,0.0001834109,0.0001945252,0.00078637,0.9964235,0.00001889187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004529641,0.0000284384,0.00004512283,0.0000424151,0.00001387643,0.000005940383,0.9987595,0.0004373966,0.0006219615],"genre_scores_gemma":[0.0001751039,0.00003641848,0.0002077985,0.00005271931,0.000004310236,0.00004548912,0.9988239,0.0001581892,0.00049602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8340521,"threshold_uncertainty_score":0.5551509,"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."}}