{"id":"W1970760290","doi":"10.7202/014025ar","title":"De génération en génération","year":2007,"lang":"fr","type":"article","venue":"Ethnologies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Sociology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117285,0.00006743494,0.00009136139,0.0002778168,0.0007231173,0.0002510401,0.0001831381,0.0003966758,0.0008244663],"category_scores_gemma":[0.0006470995,0.0001034259,0.00005595776,0.0003881202,0.001206762,0.0003882173,0.00002692118,0.0002416805,0.0006789716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677863,"about_ca_system_score_gemma":0.0005206477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3368841,"about_ca_topic_score_gemma":0.8988661,"domain_scores_codex":[0.9989916,0.0001447249,0.0001612138,0.0001519784,0.0001658699,0.0003846006],"domain_scores_gemma":[0.999472,0.0001988684,0.00007380781,0.0001227687,0.00005132774,0.00008124718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008413797,0.00003555046,0.0006966921,0.00002536296,0.00001752227,0.0000347186,0.07189767,0.00004071408,0.0005660707,0.4150515,0.0596779,0.4519479],"study_design_scores_gemma":[0.00007144912,0.00003448871,0.009961953,0.00001963815,0.00001793887,0.00000219161,0.02388971,0.00001996338,0.0002427252,0.01581041,0.9498017,0.0001278069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3307261,0.03222874,0.009032142,0.1110341,0.01012293,0.0003748426,0.00002448935,0.0005215757,0.5059351],"genre_scores_gemma":[0.6730534,0.004770092,0.001875115,0.0008260581,0.001611418,0.000008180386,0.000009787142,0.0000156145,0.3178304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8901238,"threshold_uncertainty_score":0.9027327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915225950182801,"score_gpt":0.2835958229745864,"score_spread":0.2644435634727584,"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."}}