{"id":"W2986316689","doi":"","title":"La natalité virtuelle. Ultrasons mutagènes, identités muées. L'identité : zones d'ombre, sous la direction de Cristina Bucica et Nicolas Simard, Québec, Cahiers du CELAT, 2002, p. 255-273.","year":2018,"lang":"fr","type":"dataset","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.001032221,0.00165544,0.001048617,0.006394322,0.001448513,0.003154201,0.002919741,0.001498203,0.03185336],"category_scores_gemma":[0.006703288,0.0005980557,0.00118922,0.008544327,0.000735514,0.001318633,0.00211714,0.002136862,0.02364572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005624475,"about_ca_system_score_gemma":0.009452809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.706149,"about_ca_topic_score_gemma":0.8482422,"domain_scores_codex":[0.999204,0.0001121416,0.00007214869,0.0001708739,0.0002509637,0.0001899196],"domain_scores_gemma":[0.9971775,0.0005597492,0.0003194548,0.0004570579,0.001140852,0.0003455062],"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":[0.00003456377,0.00001273854,0.004404123,0.0004476094,0.00002115906,0.0000169784,0.00007883814,0.00009753751,0.00003081845,0.0006663604,0.9895359,0.004653378],"study_design_scores_gemma":[0.00009417909,0.00001020996,0.03658412,0.0007111388,0.00003318468,0.00006854099,0.0003678197,0.000449645,0.000147797,0.001019252,0.9604799,0.00003434157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005138007,0.0006197387,0.0000783324,0.0002906474,0.00007141598,0.00001483295,0.9967938,0.0001475742,0.001469856],"genre_scores_gemma":[0.00301439,0.0004391377,0.0004665457,0.00009937862,0.0000343792,0.0001004692,0.9928675,0.00004921602,0.00292897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.293851,"threshold_uncertainty_score":0.591163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006793742207823584,"score_gpt":0.2389803985401784,"score_spread":0.2321866563323548,"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."}}