{"id":"W7094308458","doi":"","title":"The refugee’s character in Montreal the White: Politics, wandering and the city seen by the rearview mirror of a taxi","year":2017,"lang":"fr","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Character (mathematics); Movie theater; Film director; Perspective (graphical); Politics; Asylum seeker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006212883,0.0005857833,0.0001983723,0.0008483616,0.01767406,0.006242788,0.0008699748,0.001320905,0.006818615],"category_scores_gemma":[0.001301218,0.0002378586,0.0002413683,0.0009853551,0.01595828,0.002039932,0.002528685,0.002468124,0.0003413733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02108759,"about_ca_system_score_gemma":0.0078999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8492743,"about_ca_topic_score_gemma":0.9372183,"domain_scores_codex":[0.999474,0.0002163693,0.000004248138,0.00005758585,0.0000854649,0.0001623039],"domain_scores_gemma":[0.9996418,0.0000744139,0.00004008289,0.00001471008,0.00005465066,0.0001743745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006689847,0.00001767324,0.001905072,0.00005195223,0.00001289145,0.001964147,0.9185989,0.0001596495,0.001272278,0.04561184,0.02404129,0.006297369],"study_design_scores_gemma":[0.000007565846,0.00002183098,0.007312221,0.0001188446,0.00001254446,0.0004069711,0.6745779,0.000104778,0.0003469881,0.0007702432,0.316277,0.0000431178],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66531,0.004156165,0.001387354,0.02780562,0.0009052983,0.00006342416,0.0003353458,0.00008844928,0.2999483],"genre_scores_gemma":[0.9584361,0.0009738184,0.0002623978,0.0008629601,0.00008520621,0.00001467806,0.00005052689,0.00005508392,0.03925907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507257,"threshold_uncertainty_score":0.3032266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100112131461853,"score_gpt":0.3795868886850234,"score_spread":0.2794747572231704,"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."}}