{"id":"W6962249322","doi":"10.15468/dl.mbuxua","title":"Occurrence Download","year":2019,"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; 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":[0.0006920178,0.002520098,0.001937944,0.006485344,0.001442753,0.00366315,0.002828584,0.002641093,0.2258274],"category_scores_gemma":[0.006385149,0.0009049031,0.001766019,0.01045368,0.0004437806,0.004263238,0.003383214,0.002227424,0.3476147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533345,"about_ca_system_score_gemma":0.00251771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126876,"about_ca_topic_score_gemma":0.0435684,"domain_scores_codex":[0.9987321,0.0001448448,0.0001863729,0.0004446263,0.0002816415,0.0002103764],"domain_scores_gemma":[0.9974942,0.0006003411,0.0001970083,0.0005816004,0.0008120384,0.0003148133],"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":[0.00004690638,0.00001474125,0.0004962379,0.0006850187,0.00001436989,0.00003288974,0.00002834562,0.0001249739,0.0001121194,0.0004216028,0.9941083,0.003914536],"study_design_scores_gemma":[0.00004459777,0.00001167004,0.001301579,0.0002067223,0.00001394186,0.00007633692,0.0001066802,0.0002957096,0.0001627166,0.001127087,0.9966322,0.0000208309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001236339,0.0001586606,0.0001909058,0.000111553,0.00005268622,0.00001482977,0.9944041,0.001909434,0.003034317],"genre_scores_gemma":[0.0004186438,0.0001178325,0.000580679,0.0001156259,0.00001495002,0.00004468789,0.9968038,0.0003905116,0.001513345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7741726,"threshold_uncertainty_score":0.7554679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}