{"id":"W7056041370","doi":"","title":"Doing away with Boundaries: A Few Examples among Canadian Writers of Caribbean and Asian Descent","year":2001,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descent (aeronautics); Ethnic group; Government (linguistics); Immigration","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":[0.00358339,0.001121082,0.0007427021,0.005681891,0.06781387,0.009863379,0.002757116,0.004735515,0.00800819],"category_scores_gemma":[0.01533938,0.0006569157,0.0004519045,0.01134116,0.01455281,0.003099242,0.004705062,0.005718094,0.000931473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02970121,"about_ca_system_score_gemma":0.04946843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9089262,"about_ca_topic_score_gemma":0.9767326,"domain_scores_codex":[0.9942022,0.00109494,0.0001728199,0.0003643588,0.001641423,0.002524222],"domain_scores_gemma":[0.9841283,0.004771776,0.001751021,0.0004691758,0.004671772,0.00420787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000312056,0.00002170859,0.005119382,0.00007430222,0.000005209615,0.001414187,0.9758278,0.0000113071,0.0003058923,0.003255369,0.007119047,0.006814552],"study_design_scores_gemma":[0.000003701545,0.000006708669,0.00619278,0.0001440132,0.00000749106,0.0009969546,0.9356467,0.00001644037,0.0001198582,0.0001788608,0.05665572,0.00003070225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769299,0.007802546,0.0009278071,0.02182148,0.001053585,0.0001471741,0.0003621826,0.00008930836,0.09086603],"genre_scores_gemma":[0.9489757,0.005847216,0.001208286,0.006034003,0.0002296049,0.00006282462,0.0001375397,0.0002351124,0.03726966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09107381,"threshold_uncertainty_score":0.2154984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005956712357689652,"score_gpt":0.1761333282795292,"score_spread":0.1701766159218396,"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."}}