{"id":"W6924815554","doi":"10.15468/dl.t2qp3t","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data modeling","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":[0.0009458655,0.002299118,0.001683701,0.004661995,0.001066512,0.002644573,0.003184788,0.002378127,0.1170412],"category_scores_gemma":[0.005503506,0.0009174639,0.001276385,0.009022036,0.0004650218,0.002317589,0.002493265,0.002179172,0.1903127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180513,"about_ca_system_score_gemma":0.00237568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0267881,"about_ca_topic_score_gemma":0.04265019,"domain_scores_codex":[0.9990388,0.0001234149,0.0001189757,0.0003292481,0.0002360084,0.0001535579],"domain_scores_gemma":[0.9979226,0.0005781149,0.0001820571,0.0005423874,0.0005565364,0.0002184441],"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":[0.0000349921,0.00001435757,0.0004082664,0.0005755386,0.00001766577,0.00001958115,0.00002754113,0.0001764273,0.0001469651,0.0004325059,0.9963943,0.001751826],"study_design_scores_gemma":[0.00007128061,0.000007861972,0.001705493,0.0001831803,0.00001450669,0.00003944596,0.00007490111,0.0002394206,0.0002425683,0.0008512363,0.9965501,0.00002007058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004893815,0.00003264564,0.00006754779,0.00003749436,0.00001193197,0.000006361849,0.9984832,0.0006409068,0.0006710512],"genre_scores_gemma":[0.0001559788,0.00003382418,0.0002645323,0.00003831798,0.000002742562,0.00004191472,0.9989103,0.0001732836,0.0003792111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8829588,"threshold_uncertainty_score":0.3915419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142881870201739,"score_gpt":0.1991172281018081,"score_spread":0.1876884093997907,"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."}}