{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005985661,0.001209775,0.0009765979,0.00219944,0.004981627,0.007827038,0.002021667,0.002547779,0.9402822],"category_scores_gemma":[0.003542006,0.0007718719,0.000838342,0.002768607,0.001092147,0.00437992,0.002421264,0.002453865,0.8784836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006432389,"about_ca_system_score_gemma":0.009216791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1948235,"about_ca_topic_score_gemma":0.3971073,"domain_scores_codex":[0.9989796,0.00003504193,0.00002545043,0.0001055873,0.0007190519,0.0001352094],"domain_scores_gemma":[0.995441,0.0002108221,0.00005902197,0.0002481027,0.003337253,0.0007039214],"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":[0.00001337285,0.000008759453,0.00002672199,0.00004251888,6.506987e-7,0.00002086915,0.00001778589,0.00001866984,0.0001236176,0.0006989958,0.9857931,0.01323513],"study_design_scores_gemma":[0.000005426717,0.00000436941,0.0001231799,0.00002907646,8.280925e-7,0.00001898699,0.00004772782,0.00001755708,0.0000963542,0.0001422067,0.9995089,0.000005378091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001843571,0.0002561774,0.0003073797,0.001047661,0.001392434,0.00009565011,0.004847913,0.002145711,0.9897226],"genre_scores_gemma":[0.0005970839,0.0002134007,0.0002107205,0.0003085533,0.0001137418,0.00002071401,0.001415999,0.0007728122,0.9963469],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1948235,"threshold_uncertainty_score":0.3873789,"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."}}