{"id":"W6936668386","doi":"10.58079/lwhl","title":"CSDH/SCHN - Canadian Society for Digital Humanities/Société canadienne des humanités numériques","year":2013,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005776702,0.0009817007,0.0009699099,0.007094527,0.01462123,0.01517805,0.003116744,0.003223235,0.1279189],"category_scores_gemma":[0.01072574,0.0005971236,0.0007104191,0.01098418,0.006894504,0.004379872,0.007815264,0.003522581,0.02441253],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05239873,"about_ca_system_score_gemma":0.249617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9354322,"about_ca_topic_score_gemma":0.9507432,"domain_scores_codex":[0.9918675,0.0004803905,0.0002641559,0.0005513515,0.005190019,0.001646576],"domain_scores_gemma":[0.9748042,0.00116268,0.0004946369,0.00169025,0.01443898,0.007409238],"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":[0.00004867499,0.00003712707,0.002410482,0.0003789169,0.00001346269,0.0001676804,0.001921245,0.0001849358,0.0005153564,0.1186984,0.7692199,0.1064039],"study_design_scores_gemma":[0.000003940635,0.000003765258,0.002939311,0.0001099373,0.000003710279,0.00004772052,0.0009148841,0.00007065959,0.0001523528,0.002064186,0.9936712,0.00001834324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006484534,0.01156936,0.005184709,0.05298896,0.008336376,0.0005100952,0.01146638,0.001052191,0.9024074],"genre_scores_gemma":[0.07028661,0.009240207,0.01059919,0.00363754,0.0008180217,0.0002328309,0.007381578,0.0006025565,0.8972015],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9476013,"threshold_uncertainty_score":0.4279312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103237400409229,"score_gpt":0.233025503701373,"score_spread":0.1919931296972807,"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."}}