{"id":"W7018056741","doi":"","title":"Commémoration et patrimoine commémoratif - se souvenir, ensemble","year":2024,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); State (computer science); Sequence (biology); Pipeline (software)","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":[0.001447718,0.0003827233,0.0003424105,0.001342014,0.01120723,0.004001469,0.0008580859,0.0009184268,0.01374968],"category_scores_gemma":[0.003127186,0.0001912819,0.0002468647,0.002257111,0.008511858,0.002439571,0.00270857,0.002123277,0.001117814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01893133,"about_ca_system_score_gemma":0.02482158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8482513,"about_ca_topic_score_gemma":0.9331222,"domain_scores_codex":[0.9973302,0.0005542453,0.00005868774,0.00022276,0.0009921924,0.0008419697],"domain_scores_gemma":[0.9978829,0.0001375777,0.0001843082,0.0001385879,0.001253556,0.0004031044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000171058,0.00005628837,0.02211263,0.0004610993,0.00006594221,0.001155198,0.1994838,0.000444999,0.003341945,0.3971221,0.1824204,0.1931645],"study_design_scores_gemma":[0.000006041254,0.00002668589,0.05468453,0.0002969299,0.00001723141,0.0002714908,0.05362931,0.0001515839,0.000476112,0.00757046,0.8828203,0.00004920546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1751871,0.02367554,0.006374636,0.04088459,0.002836192,0.0001605222,0.001142028,0.0002299949,0.7495094],"genre_scores_gemma":[0.7804232,0.006188745,0.002038948,0.001596611,0.0002563053,0.00004393364,0.0002903024,0.0001254283,0.2090365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1517487,"threshold_uncertainty_score":0.3052847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009107900218714632,"score_gpt":0.1928154139363865,"score_spread":0.1837075137176719,"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."}}