{"id":"W6943120243","doi":"10.15468/dl.kkdvq6","title":"Occurrence Download","year":2023,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009512777,0.001970534,0.001595601,0.005105352,0.001080675,0.002800927,0.002975787,0.00187697,0.2046117],"category_scores_gemma":[0.006047846,0.001002427,0.001190091,0.009940927,0.0004676861,0.00236282,0.002920466,0.001947116,0.2691238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782455,"about_ca_system_score_gemma":0.0026877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0319039,"about_ca_topic_score_gemma":0.05010357,"domain_scores_codex":[0.9990903,0.0001052048,0.0001059896,0.0003012342,0.0002238038,0.0001734053],"domain_scores_gemma":[0.9978468,0.0005477428,0.0001832966,0.0005557639,0.0006163002,0.0002500127],"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":[0.00002255831,0.000008036956,0.0003126273,0.0004694376,0.00001249203,0.00001363489,0.0000249143,0.00008705106,0.00009818639,0.000386791,0.9972102,0.001354023],"study_design_scores_gemma":[0.00005255504,0.000005262508,0.001449712,0.0001892695,0.00001224422,0.00003222684,0.00007135151,0.0001099596,0.0001760643,0.0007162088,0.9971694,0.00001575541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002903837,0.00002201346,0.00004645494,0.00003072409,0.00001045127,0.000004959496,0.9986032,0.0004604541,0.0007927365],"genre_scores_gemma":[0.0001637203,0.00003629006,0.0002309014,0.00004688121,0.000003372779,0.00004609746,0.9986449,0.0002515604,0.0005762554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7953883,"threshold_uncertainty_score":0.6844942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}