{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194777,0.00007993053,0.00007225681,0.00009877535,0.0002690337,0.0001430764,0.00005906695,0.0001589624,0.0003318294],"category_scores_gemma":[0.0001225441,0.00007408355,0.00001703111,0.0002883083,0.00009049564,0.0007006583,0.00005972029,0.0002326267,0.0004687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009936211,"about_ca_system_score_gemma":0.00002941849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007067031,"about_ca_topic_score_gemma":0.00004095932,"domain_scores_codex":[0.9995237,0.000003058451,0.0001310328,0.0001240215,0.00009358708,0.0001245862],"domain_scores_gemma":[0.9996968,0.00004530545,0.00006038515,0.0001085174,0.00008075999,0.000008260751],"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":[0.000008102884,0.00007973093,0.06309886,0.00001201189,0.00002502283,0.000002823831,0.0001279107,0.0006344845,0.00006440817,0.7937051,0.06664354,0.07559802],"study_design_scores_gemma":[0.0002370689,0.000001288865,0.007694589,0.00002078173,0.00002787013,0.00000261876,0.0001156829,0.003089701,0.00002002307,0.002213415,0.9864573,0.00011962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.578692,0.0006266632,0.001140218,0.09810378,0.0003223766,0.000423364,0.000005070222,0.0003798617,0.3203067],"genre_scores_gemma":[0.9939045,0.00001518971,0.0003006382,0.001074268,0.0008840386,0.00000905511,0.00001448025,0.00001140862,0.003786389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9198138,"threshold_uncertainty_score":0.6024346,"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."}}