{"id":"W7025157477","doi":"","title":"Ãtude quantitative et qualitative de 45 emprunts de sens dans sept types de discours quebecois","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Subject (documents); Interpretation (philosophy); Discourse analysis; Narrative","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002238075,0.0008266825,0.0006000121,0.003348723,0.008044671,0.004052646,0.001061918,0.001184771,0.006810957],"category_scores_gemma":[0.004770758,0.0005811639,0.0005866116,0.004283414,0.003432756,0.001502437,0.002149243,0.001358755,0.0008959899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01745354,"about_ca_system_score_gemma":0.0103612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9213142,"about_ca_topic_score_gemma":0.9698189,"domain_scores_codex":[0.9979156,0.0005376569,0.00009894944,0.0003297148,0.0006361,0.0004820165],"domain_scores_gemma":[0.9962997,0.001284845,0.0004581395,0.0001467646,0.001420838,0.000389826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005965249,0.000358891,0.4184982,0.0003749786,0.0001333843,0.00343617,0.4706104,0.0009141504,0.0103992,0.003853396,0.004214844,0.08660986],"study_design_scores_gemma":[0.00001977913,0.0001575813,0.7089592,0.0002211483,0.00006795688,0.0005019205,0.2339166,0.0005048294,0.00238064,0.0002935201,0.05291613,0.00006071675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981589,0.0005930805,0.001260978,0.0002974035,0.00002687986,0.000146834,0.001139696,0.00002834751,0.01491784],"genre_scores_gemma":[0.9196917,0.0009528153,0.002303972,0.0002321922,0.00002020649,0.0003621433,0.001006541,0.0000511376,0.07537936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07868582,"threshold_uncertainty_score":0.1582984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004428678780838516,"score_gpt":0.2068723477058946,"score_spread":0.2024436689250561,"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."}}