{"id":"W6962179973","doi":"10.15468/dl.prbbtq","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); Encoding (memory); 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":[0.0009100231,0.001948006,0.001516929,0.004692153,0.0009394577,0.00232878,0.00272103,0.001910815,0.1495436],"category_scores_gemma":[0.005382252,0.0009069368,0.001125481,0.009304222,0.000440288,0.002158668,0.00247131,0.001959221,0.2067893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589967,"about_ca_system_score_gemma":0.002223416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391064,"about_ca_topic_score_gemma":0.0394268,"domain_scores_codex":[0.9991124,0.0001155675,0.0001116035,0.0003077641,0.000200129,0.0001525343],"domain_scores_gemma":[0.9978299,0.0006119348,0.0002062645,0.0005768288,0.0005228164,0.0002523663],"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":[0.00002927358,0.00001116884,0.0004034142,0.0005225861,0.00001464804,0.00001609469,0.00002942489,0.0001388405,0.0001363765,0.0004192281,0.9967651,0.001513778],"study_design_scores_gemma":[0.0000645589,0.000006957025,0.001823069,0.0001714802,0.00001294428,0.00003584694,0.00007684559,0.0001522872,0.0001918539,0.0007031917,0.9967443,0.00001661858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004599194,0.00002410905,0.00005060422,0.00003217385,0.00001098981,0.000005126328,0.9987296,0.0004349462,0.0006664358],"genre_scores_gemma":[0.0001676487,0.00002958131,0.0002170354,0.00003844837,0.000002950311,0.00003991053,0.9988913,0.0001744075,0.0004386771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504564,"threshold_uncertainty_score":0.5002731,"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."}}