{"id":"W6962245485","doi":"10.15468/dl.x88rbu","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); Alien; The Internet","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":[0.001080998,0.001986559,0.0016551,0.005228373,0.001027568,0.002668661,0.002926227,0.002172537,0.1608189],"category_scores_gemma":[0.00627321,0.0009281005,0.001266096,0.01047945,0.0004666946,0.002389816,0.00258279,0.00209265,0.2266953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166745,"about_ca_system_score_gemma":0.002436953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02286249,"about_ca_topic_score_gemma":0.03616188,"domain_scores_codex":[0.9988552,0.0001622214,0.0001479444,0.0003952302,0.0002501066,0.0001893483],"domain_scores_gemma":[0.9972256,0.0007972069,0.000256832,0.0007333508,0.0006840819,0.0003030284],"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":[0.0000291384,0.00001138218,0.0003494385,0.0005417058,0.00001543373,0.0000141024,0.00002245288,0.0001193189,0.0001089795,0.0003759924,0.997113,0.001298995],"study_design_scores_gemma":[0.00007457461,0.000008372028,0.001883611,0.0002004045,0.00001518592,0.00003500823,0.00007279729,0.0001350363,0.000184829,0.0008010769,0.9965711,0.00001814001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003560991,0.00002479137,0.00003824669,0.00003364047,0.00001100415,0.00000490272,0.9989763,0.0003090995,0.0005663997],"genre_scores_gemma":[0.000139093,0.00003234039,0.0001689835,0.00004300965,0.000003216327,0.00003939075,0.999018,0.0001275937,0.0004284166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391811,"threshold_uncertainty_score":0.5379928,"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."}}