{"id":"W6924743993","doi":"10.15468/dl.tynrcq","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); Alien; Range (aeronautics); 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":[0.001012324,0.00200768,0.001605582,0.005199851,0.001059707,0.002651789,0.00279354,0.002193777,0.1572237],"category_scores_gemma":[0.006136294,0.000917126,0.001283183,0.009716424,0.0004574485,0.002356754,0.002632782,0.00210462,0.2249835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638372,"about_ca_system_score_gemma":0.002416936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169461,"about_ca_topic_score_gemma":0.03427501,"domain_scores_codex":[0.9989063,0.000147076,0.0001367435,0.000383008,0.0002410616,0.000185993],"domain_scores_gemma":[0.9972486,0.0007912883,0.000245769,0.0007391394,0.0006680276,0.000307211],"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":[0.00003080061,0.00001243398,0.0004003164,0.0005379812,0.00001454789,0.00001558943,0.0000238142,0.0001220574,0.0001242437,0.0003675202,0.9969023,0.001448337],"study_design_scores_gemma":[0.00007563239,0.000009586088,0.002089569,0.0002109066,0.00001530372,0.00003868724,0.00008206945,0.000156786,0.0002019577,0.0007893987,0.9963114,0.00001878215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004399151,0.00002668049,0.00004175783,0.0000386392,0.00001331309,0.000005456382,0.9988604,0.0003752349,0.000594507],"genre_scores_gemma":[0.0001584025,0.00003360205,0.0001945931,0.00004668592,0.000003625967,0.00004227955,0.9989153,0.0001403612,0.0004651764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427763,"threshold_uncertainty_score":0.5259657,"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."}}