{"id":"W6887047745","doi":"10.15468/dl.maib7b","title":"Occurrence Download","year":2015,"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; Confidentiality","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":[0.001027186,0.001941131,0.001666841,0.005398378,0.0009415554,0.002721053,0.002921567,0.001936078,0.1455116],"category_scores_gemma":[0.006076436,0.0009010839,0.001179605,0.0108982,0.0004184294,0.002308944,0.002620445,0.001971332,0.2009189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611004,"about_ca_system_score_gemma":0.002531517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193159,"about_ca_topic_score_gemma":0.03568178,"domain_scores_codex":[0.9988918,0.0001425396,0.0001462896,0.0003791826,0.000258251,0.0001819265],"domain_scores_gemma":[0.9976081,0.0006342421,0.0002515287,0.0006518625,0.0005707836,0.0002834785],"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":[0.00002746513,0.00001022963,0.00040924,0.0005071631,0.00001739479,0.00001414895,0.00002350884,0.000126534,0.0001122748,0.0004201555,0.9968641,0.001467676],"study_design_scores_gemma":[0.00006429861,0.000007117048,0.002014297,0.0001912505,0.00001584042,0.00003667753,0.0000645725,0.0001449287,0.0001915498,0.0007832479,0.9964694,0.00001679575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004294279,0.00003120453,0.00004832153,0.00003245872,0.00001097663,0.000004684254,0.9988261,0.0003787298,0.0006244787],"genre_scores_gemma":[0.0001497566,0.00003309449,0.0001684654,0.0000362193,0.000002882118,0.00003190644,0.9990415,0.0001252922,0.000410747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8544884,"threshold_uncertainty_score":0.4867846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}