{"id":"W6924502267","doi":"10.15468/dl.kfcayw","title":"Occurrence Download","year":2022,"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); Software","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":[0.0009906084,0.001891881,0.001540379,0.004879368,0.0009837296,0.002542822,0.002719912,0.002058147,0.1609054],"category_scores_gemma":[0.00601333,0.0008898523,0.001229408,0.008968651,0.0004424553,0.002273008,0.002504981,0.001959293,0.2182034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522535,"about_ca_system_score_gemma":0.002248197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158656,"about_ca_topic_score_gemma":0.03434859,"domain_scores_codex":[0.9990193,0.0001367721,0.0001177734,0.0003466518,0.000214346,0.0001651878],"domain_scores_gemma":[0.9974945,0.0007535117,0.0002142304,0.000652688,0.0006069978,0.0002780267],"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":[0.00002606361,0.00001143839,0.0003926417,0.0005045181,0.0000138251,0.00001493711,0.00002295046,0.0001204612,0.0001111075,0.0003331859,0.9970616,0.001387387],"study_design_scores_gemma":[0.00007384056,0.000009449968,0.002066253,0.0002110146,0.0000150911,0.00003927088,0.00008448328,0.0001760344,0.0001905126,0.0007735539,0.9963416,0.00001881679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000445819,0.00002751222,0.00004435713,0.00004075092,0.00001364389,0.000005937205,0.9988127,0.0003961889,0.0006143249],"genre_scores_gemma":[0.0001763622,0.00003494998,0.0002085907,0.00005162288,0.000004124518,0.0000485194,0.9988204,0.0001567793,0.0004987241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390946,"threshold_uncertainty_score":0.5382822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}