{"id":"W7033440036","doi":"","title":"Proçès-verbal de l’assemblée générale annuelle de la Société historique du Canada tenue à l’Université Laval","year":2020,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Data collection; Qualitative research; Agency (philosophy)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004814925,0.0003895001,0.0006153556,0.00006071266,0.0008463727,0.0002193108,0.002117942,0.0002923176,0.00003247884],"category_scores_gemma":[0.0001297862,0.0005160601,0.0001269355,0.0002848651,0.000403067,0.001001747,0.001575984,0.0004253948,0.000005749049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944212,"about_ca_system_score_gemma":0.002910628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7398311,"about_ca_topic_score_gemma":0.242167,"domain_scores_codex":[0.9966067,0.0007263578,0.000425213,0.001030285,0.000516343,0.0006950991],"domain_scores_gemma":[0.9969649,0.0004470491,0.0006054097,0.0009887692,0.0002331942,0.0007606418],"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":[0.0002631535,0.0003025728,0.02107577,0.0005163367,0.0006217883,0.0104904,0.00373938,0.001016513,0.0009190953,0.003362232,0.9503643,0.007328468],"study_design_scores_gemma":[0.001851086,0.0001810596,0.006199911,0.0002172242,0.0002874922,0.0008611978,0.0009504526,0.02045569,0.0001252807,0.00007618492,0.9682547,0.000539696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6339462,0.05151508,0.0722197,0.1001561,0.009240259,0.002899512,0.01195817,0.0008603548,0.1172046],"genre_scores_gemma":[0.9785587,0.002943549,0.00108476,0.0003005491,0.0007577596,6.360456e-7,0.0002759169,0.00002725387,0.01605092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4976641,"threshold_uncertainty_score":0.9997291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053061350545505,"score_gpt":0.2036965393547701,"score_spread":0.193165925849315,"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."}}