{"id":"W6943662411","doi":"10.15468/dl.p72tq2","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); Range (aeronautics); Data set","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":[0.001011095,0.002001486,0.001695417,0.005280898,0.001015507,0.002627893,0.002928791,0.00204577,0.1654988],"category_scores_gemma":[0.005721405,0.0009600295,0.00114847,0.01021375,0.0004601061,0.002354804,0.002661177,0.002025442,0.2308534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150976,"about_ca_system_score_gemma":0.002313579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934059,"about_ca_topic_score_gemma":0.03366885,"domain_scores_codex":[0.9989704,0.0001376851,0.0001250929,0.0003682691,0.000228002,0.0001705228],"domain_scores_gemma":[0.9976819,0.000646651,0.0002256895,0.000613422,0.0005404347,0.0002919013],"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":[0.00002812308,0.00001120958,0.0003670669,0.0005527944,0.00001571286,0.00001502339,0.00002434094,0.0001194228,0.0001263111,0.0003829455,0.9970054,0.001351583],"study_design_scores_gemma":[0.00006898474,0.00000729666,0.001802249,0.0001850407,0.00001416834,0.00003643352,0.00006878248,0.000126548,0.0001847274,0.0007624542,0.9967256,0.00001770325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004069883,0.00002721442,0.00004473448,0.0000318664,0.00001090989,0.000004904533,0.9988037,0.0003797325,0.0006560725],"genre_scores_gemma":[0.0001626058,0.00003265306,0.0001904955,0.00004418755,0.000003278381,0.00004012313,0.9989035,0.0001605345,0.000462661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345012,"threshold_uncertainty_score":0.5536487,"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."}}