{"id":"W7000414336","doi":"","title":"Excès et éclatement dans l'oeuvre de Marie Laberge : une certaine hystérie textuelle","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Feature (linguistics); MEDLINE; Articulation (sociology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003182664,0.0006615269,0.0006982433,0.00006009981,0.0002178858,0.00004849471,0.0004508957,0.0001583265,0.002571352],"category_scores_gemma":[0.000005107854,0.0006774669,0.00008774696,0.0002232823,0.0001259408,0.0002149986,0.0001928283,0.0003735043,7.099938e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008414656,"about_ca_system_score_gemma":0.002009611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1678908,"about_ca_topic_score_gemma":0.4707527,"domain_scores_codex":[0.9961902,0.0001326043,0.0006749139,0.0005043909,0.00160549,0.0008923357],"domain_scores_gemma":[0.998409,0.0002532859,0.0002609981,0.0004784638,8.857544e-7,0.000597337],"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":[0.0002109482,0.000236107,0.02729808,0.003439101,0.001213345,0.001727502,0.001330591,0.1254745,0.02351527,0.7248772,0.03893331,0.05174404],"study_design_scores_gemma":[0.000586764,0.0001002753,0.008735326,0.0008265036,0.00007502651,0.00002637083,0.002181881,0.02144696,0.005038735,0.0004918762,0.9596748,0.0008154936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009802241,0.003450252,0.002267734,0.00422909,0.0009811717,0.0003089424,0.0004738301,0.00004520571,0.9784415],"genre_scores_gemma":[0.344846,0.001627636,0.001163535,0.0005599245,0.0002533202,0.00002509937,0.00004221952,0.0002303469,0.651252],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9207415,"threshold_uncertainty_score":0.9995676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002462356916955753,"score_gpt":0.1370753874392719,"score_spread":0.1346130305223161,"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."}}