{"id":"W6924751006","doi":"10.15468/dl.pf7t99","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Species name","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002685573,0.0002898003,0.000256391,0.0002130315,0.0003149934,0.0004529775,0.0006737029,0.0002241446,0.001827223],"category_scores_gemma":[0.0003136545,0.0002989857,0.0001707189,0.000789179,0.0001370701,0.00213676,0.0007691242,0.0002493099,0.9135842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482113,"about_ca_system_score_gemma":0.00006167135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252393,"about_ca_topic_score_gemma":0.00020472,"domain_scores_codex":[0.9986328,0.00001000085,0.0003680566,0.0002483925,0.0004263721,0.0003143989],"domain_scores_gemma":[0.998686,0.0000237326,0.0003239655,0.0004019648,0.0005383804,0.00002596715],"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":[0.00002559222,0.00002563198,0.001249395,0.000342533,0.00002024267,0.000004236651,0.000005969964,0.00000404843,1.621511e-8,0.000002558925,0.9966319,0.001687887],"study_design_scores_gemma":[0.0001331519,0.000005542136,0.0002207372,0.000008121142,0.00005259202,7.692201e-7,0.0001291136,9.825371e-7,5.855924e-7,0.000009907354,0.999121,0.0003175657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001898588,0.00001219604,0.000006405843,0.0001672597,0.001581943,0.0002561887,0.9962252,0.0002439827,0.001316922],"genre_scores_gemma":[0.00001470115,0.00003646555,2.109324e-7,0.001035079,0.00002035299,0.000004781164,0.9988877,2.710607e-8,7.06436e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9117571,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243738622993955,"score_gpt":0.2279531591064808,"score_spread":0.2035792968070853,"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."}}