{"id":"W6888572661","doi":"10.21227/rmg3-b562","title":"\"Dalhousie NIMS Lab IMA Traffic Dataset 2025\"","year":2025,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Encryption; Asynchronous communication; Scripting language; Orchestration; Emulation; Upload; Android (operating system); Cloud computing; Interoperability","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":[],"consensus_categories":[],"category_scores_codex":[0.0006636673,0.002110327,0.001013955,0.003603329,0.001292905,0.00164654,0.002660818,0.001807112,0.0101028],"category_scores_gemma":[0.002642015,0.0003840815,0.000960082,0.004215118,0.0003680977,0.001903788,0.001538148,0.001464307,0.01918175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322771,"about_ca_system_score_gemma":0.001844425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06947719,"about_ca_topic_score_gemma":0.09104938,"domain_scores_codex":[0.9987559,0.0001440242,0.0001227339,0.0002934823,0.0004242877,0.0002594737],"domain_scores_gemma":[0.9987316,0.0001298553,0.0000873409,0.0003364706,0.0005931492,0.0001215717],"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":[0.0002099008,0.0001782487,0.004275646,0.0004749392,0.00008040232,0.0001758067,0.00007526443,0.003384044,0.001465754,0.001726936,0.9688361,0.01911692],"study_design_scores_gemma":[0.0002370125,0.0001465702,0.03746659,0.000373577,0.00007955172,0.0003880561,0.00079557,0.04673613,0.006391014,0.003562914,0.9036686,0.0001545485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007932118,0.0002309461,0.001209157,0.0004084165,0.0001608562,0.00009786542,0.9800274,0.004584761,0.005348433],"genre_scores_gemma":[0.00676331,0.00009828225,0.001282881,0.00009776668,0.00002702151,0.0000928323,0.9903544,0.0001017563,0.001181786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9305228,"threshold_uncertainty_score":0.1381456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681820876960323,"score_gpt":0.3155634196486612,"score_spread":0.288745210879058,"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."}}