{"id":"W6905789293","doi":"10.15468/dl.rccqk6","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); Range (aeronautics); Data collection; Point (geometry)","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":[0.0009535658,0.001976887,0.001548325,0.004806077,0.0009396099,0.002337225,0.002787675,0.002006588,0.1382688],"category_scores_gemma":[0.005531874,0.0009147875,0.00116565,0.009727543,0.0004612162,0.002140903,0.002444864,0.001998738,0.1921535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621444,"about_ca_system_score_gemma":0.002249268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359211,"about_ca_topic_score_gemma":0.03721695,"domain_scores_codex":[0.9990577,0.000122614,0.0001249037,0.0003225815,0.0002128507,0.0001593108],"domain_scores_gemma":[0.9977826,0.0006240448,0.0002148776,0.0005888963,0.0005358892,0.0002535997],"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":[0.00003156698,0.0000126965,0.000458604,0.0005929538,0.00001674092,0.00001800585,0.00003035098,0.0001691596,0.0001559291,0.0004316197,0.9964479,0.001634403],"study_design_scores_gemma":[0.00007206912,0.000008109919,0.002028604,0.0001903323,0.00001477469,0.00004008367,0.00008483545,0.0001729221,0.0002122415,0.0007363427,0.9964215,0.00001833805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004805367,0.00002454255,0.00004841763,0.00003194176,0.00001137737,0.000005029998,0.998871,0.0003861766,0.0005733014],"genre_scores_gemma":[0.0001678185,0.00003042896,0.0002118992,0.00003670878,0.000002783411,0.00003826294,0.998989,0.0001422013,0.0003809096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8617312,"threshold_uncertainty_score":0.4625551,"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."}}