{"id":"W6980384721","doi":"","title":"Canadian Immigration: The intersection of public perception and Canada’s future","year":2024,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Perception; Government (linguistics); Public policy; Public opinion","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":[],"consensus_categories":[],"category_scores_codex":[0.00001623117,0.0001674299,0.0001349377,0.0004378653,0.0001633806,0.0002932177,0.0007728026,0.0001154101,0.0001103458],"category_scores_gemma":[9.932461e-7,0.0001721338,0.0000794933,0.0009182036,0.0000843398,0.0007997138,0.0002910377,0.0001895365,0.00003705834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890071,"about_ca_system_score_gemma":0.001727521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5102007,"about_ca_topic_score_gemma":0.8603036,"domain_scores_codex":[0.999206,0.000038937,0.00007571273,0.0003520922,0.0001669315,0.0001602923],"domain_scores_gemma":[0.9993284,0.00002955135,0.0001051583,0.0003182754,0.00002817922,0.0001904418],"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":[0.000002486515,0.00001082036,0.0001772271,0.00002174092,0.00006059139,0.0000221415,0.0001568706,0.000004453271,5.320759e-7,0.3357323,0.657779,0.006031824],"study_design_scores_gemma":[0.00007224298,0.00001511467,0.0003943178,0.00003784362,0.00001993845,0.000005934812,0.002078666,0.0003652106,4.076375e-7,0.0008819132,0.9959552,0.0001731615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004353827,0.0001800937,0.009669441,0.008939504,0.0004835465,0.0002710628,0.001157639,0.0002695778,0.9785938],"genre_scores_gemma":[0.198756,0.00007585228,0.000666787,0.0001462777,0.0002655796,1.499183e-7,0.0004429693,0.00006852245,0.7995778],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3501029,"threshold_uncertainty_score":0.7019414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005870525768693952,"score_gpt":0.1449370416091109,"score_spread":0.139066515840417,"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."}}