{"id":"W6930577063","doi":"10.5281/zenodo.12259725","title":"nav canada cfs pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Telephone number; Download; Call centre; Commercial aviation; Air travel; Air traffic control; Section (typography); Civil aviation; Telephone survey","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004292953,0.0002492103,0.0002219769,0.0003717856,0.000697805,0.001156653,0.003068478,0.0001459344,0.06827797],"category_scores_gemma":[0.0003708288,0.0002628996,0.00005260335,0.0007420977,0.00006751811,0.00009538713,0.002624361,0.0007960992,0.09556577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264638,"about_ca_system_score_gemma":0.00004716135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05656732,"about_ca_topic_score_gemma":0.002465876,"domain_scores_codex":[0.9973835,0.0003936036,0.0002492373,0.000794332,0.0006898046,0.0004894708],"domain_scores_gemma":[0.9982502,0.00002013441,0.0001470934,0.001091993,0.0002228814,0.0002676939],"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":[0.000001640029,0.00001220107,5.227874e-7,0.0002814445,0.00003138055,0.00008398175,0.0001864968,0.000008797857,0.000006170651,0.008443169,0.9523736,0.03857061],"study_design_scores_gemma":[0.00009628252,0.00006343533,0.00001939386,0.0001727162,0.00000686138,0.000113964,0.00002262343,0.001079733,0.00000459943,0.0001731588,0.9979897,0.0002574974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003925772,0.000654364,0.007198044,0.002881095,0.0008135636,0.0003583182,0.0001604036,0.002424667,0.9855056],"genre_scores_gemma":[0.00133326,0.00009063205,0.001484731,0.0005751882,0.0005818093,5.026016e-8,0.0007517863,0.008872874,0.9863096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05410144,"threshold_uncertainty_score":0.9999823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076216757464668,"score_gpt":0.2488576920665336,"score_spread":0.2280955244918869,"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."}}