{"id":"W7103266541","doi":"","title":"Canada's Campaign For Immigrants And\\nThe Images In &lt;i&gt;Canada West&lt;/i&gt; Magazine","year":2004,"lang":"","type":"article","venue":"Insecta mundi","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Government (linguistics); Promotion (chess); Ideal (ethics); Subject (documents); Work (physics)","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0007682464,0.0004489949,0.0006805292,0.0005814105,0.002148146,0.0006113502,0.0007911924,0.0003043831,0.000824539],"category_scores_gemma":[0.0005121799,0.0006105765,0.0001561645,0.0009791023,0.00115251,0.0004512645,0.0001034437,0.0004175751,0.00003107695],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01047848,"about_ca_system_score_gemma":0.0443469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999911,"about_ca_topic_score_gemma":1,"domain_scores_codex":[0.995748,0.0002159372,0.0007638971,0.0008269237,0.0009873068,0.001457935],"domain_scores_gemma":[0.9978471,0.0003434815,0.0002977345,0.0004949649,0.0002040824,0.0008125827],"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":[0.0005102772,0.000640858,0.00811239,0.0009724119,0.0003720775,0.002284665,0.04507916,0.0004062763,0.01200422,0.04213024,0.8631804,0.02430701],"study_design_scores_gemma":[0.001700177,0.000108823,0.07998532,0.0001927135,0.00007532909,0.0000177587,0.0003344858,0.00001960813,0.0000179285,0.0006883899,0.9160918,0.0007676521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170399,0.02219006,0.0000505904,0.01806249,0.007089989,0.002382823,0.003514154,0.00007020668,0.02959985],"genre_scores_gemma":[0.9835513,0.001827927,0.00007931668,0.001716206,0.0006205676,0.00008078782,0.0000318567,0.00006079262,0.01203131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07187293,"threshold_uncertainty_score":0.9996346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007626787041626355,"score_gpt":0.2049745070671928,"score_spread":0.1973477200255664,"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."}}