{"id":"W4252354857","doi":"10.7202/028660ar","title":"Pros and Cons","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Business Law and Ethics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadiana.org; Canadian Armed Forces; Northern Alberta Institute of Technology","funders":"","keywords":"cons; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02417061,0.0006614251,0.0007112639,0.001499692,0.008326709,0.01084681,0.001699422,0.008444968,0.008148059],"category_scores_gemma":[0.03645473,0.0004103417,0.0005802014,0.002131167,0.02999526,0.008798209,0.006803606,0.008699324,0.001330046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618617,"about_ca_system_score_gemma":0.00377409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716006,"about_ca_topic_score_gemma":0.004312742,"domain_scores_codex":[0.9670565,0.013318,0.001056469,0.003277016,0.01343352,0.001858515],"domain_scores_gemma":[0.9769033,0.01650164,0.001208899,0.002070434,0.002522654,0.0007930355],"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":[0.000009142702,0.000008183672,0.0003706483,0.00003816485,0.000008258042,0.00005190607,0.0006909282,0.0001419988,0.00006478291,0.9850203,0.00414054,0.009455111],"study_design_scores_gemma":[0.00001060306,0.00002816389,0.001267145,0.0002346925,0.00001901826,0.0002811951,0.003120455,0.0004817073,0.0002820647,0.7864888,0.2077591,0.00002705716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0276015,0.009794606,0.01657651,0.1008207,0.002264773,0.0000697065,0.0001087001,0.00006465565,0.8426988],"genre_scores_gemma":[0.881175,0.004835757,0.007242376,0.04417019,0.003295338,0.0004122595,0.00005708156,0.0001791352,0.05863282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02417061,"threshold_uncertainty_score":0.1278279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157194420037412,"score_gpt":0.2296554132875052,"score_spread":0.1980834690871311,"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."}}