{"id":"W6989579352","doi":"","title":"On Being Canadian Winter 2013: Part 4 Immigration","year":2013,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Interdisciplinary Cultural and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Government (linguistics); Population; Public policy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015393,0.0001163716,0.0001851771,0.00008787507,0.00111432,0.00002084034,0.000415837,0.0001841802,0.006091208],"category_scores_gemma":[0.00001245607,0.00009427135,0.0001427449,0.0001278854,0.0004176051,0.00007701615,0.00008162147,0.000146801,0.0008936945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790457,"about_ca_system_score_gemma":0.00009094664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7657732,"about_ca_topic_score_gemma":0.937162,"domain_scores_codex":[0.9992225,0.0001184019,0.00005992348,0.0001454873,0.0002111073,0.0002426194],"domain_scores_gemma":[0.9995536,0.0000323267,0.0001248672,0.0001322631,0.00006579459,0.00009117136],"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":[0.000006005364,0.000006207623,0.0000286401,0.000005824924,0.00006487867,0.000003271265,0.02745155,4.308966e-7,0.00001266328,0.01483392,0.9570988,0.00048778],"study_design_scores_gemma":[0.0000706531,0.00003081067,0.001169764,0.00006980471,0.00004619589,1.039225e-7,0.04734814,0.000002367934,3.560462e-7,0.0009486573,0.9501819,0.0001312679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002825688,0.0001547523,0.00000736979,0.02009709,0.0005874258,0.0002713696,0.0000332538,0.00004868981,0.9759744],"genre_scores_gemma":[0.2414248,0.0003466659,0.00001199177,0.00008997454,0.0004249632,2.849472e-7,0.0000136199,0.00002094169,0.7576667],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2385992,"threshold_uncertainty_score":0.9998842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520504231400392,"score_gpt":0.232565524944575,"score_spread":0.2173604826305711,"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."}}