{"id":"W6905696069","doi":"10.15468/dl.pg4pkd","title":"Occurrence Download","year":2018,"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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009657678,0.001906367,0.001553865,0.005667406,0.0009481342,0.002555157,0.002882646,0.002003563,0.1455245],"category_scores_gemma":[0.006104444,0.0008333601,0.001133514,0.01108521,0.0004334408,0.002397243,0.002564829,0.002000341,0.2114569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543025,"about_ca_system_score_gemma":0.002288003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952406,"about_ca_topic_score_gemma":0.03144487,"domain_scores_codex":[0.9989306,0.0001438298,0.0001413723,0.0003633229,0.0002392035,0.0001816758],"domain_scores_gemma":[0.9974387,0.0006750123,0.0002641975,0.0006699797,0.000656403,0.0002957326],"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":[0.00002627187,0.000010836,0.0003945349,0.0004770273,0.00001446847,0.00001401071,0.00002221859,0.0001220936,0.00009607027,0.0003757747,0.9970019,0.001444737],"study_design_scores_gemma":[0.00006646146,0.000007618256,0.001848086,0.0001946777,0.00001384631,0.00003692447,0.00007435604,0.0001508568,0.0001610165,0.0007771492,0.9966531,0.00001594211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004227466,0.0000300976,0.0000423301,0.00003642011,0.00001297506,0.000004896607,0.9988857,0.0003315863,0.0006138865],"genre_scores_gemma":[0.0001480656,0.00003308809,0.0001658142,0.00003841156,0.000003717965,0.00003367428,0.9990416,0.0001090165,0.0004266316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8544755,"threshold_uncertainty_score":0.486828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}