{"id":"W2614721344","doi":"10.24297/ijrem.v8i1.6070","title":"Calculating the Productivity and Efficiency of an Educational Product: Transposition of Mario Godardâ€™s Method","year":2017,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Université du Québec en Outaouais","funders":"","keywords":"Productivity; Humanities; Valuation (finance); Mathematics; Welfare economics; Philosophy; Economics; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01793654,0.00008403118,0.0002298539,0.0006976116,0.0002342782,0.0001565236,0.001874628,0.00005204283,0.00002817764],"category_scores_gemma":[0.006847236,0.00006625328,0.00005836346,0.0002909638,0.0003883802,0.001067773,0.0001792505,0.0005751763,9.115943e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147604,"about_ca_system_score_gemma":0.001800749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005756314,"about_ca_topic_score_gemma":0.00006004249,"domain_scores_codex":[0.9949676,0.003167049,0.0006189227,0.0002704714,0.0007953046,0.0001806845],"domain_scores_gemma":[0.9939363,0.002047835,0.0009023316,0.0004572774,0.002574187,0.00008208122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002366756,0.001786907,0.08350699,0.0001106504,0.0001030028,0.000003998647,0.01995574,0.001250003,0.04305825,0.2458785,0.0001290445,0.6039802],"study_design_scores_gemma":[0.0006331417,0.0004175362,0.8783975,0.0002664684,0.00001556074,0.00055127,0.005447011,0.002911079,0.03509331,0.07493714,0.001175539,0.0001544323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969212,0.0003264031,0.04356112,0.05472676,0.002706902,0.0002615102,0.00000198232,0.000003684997,0.001490507],"genre_scores_gemma":[0.7569937,0.00004862462,0.2424472,0.00002878018,0.0003707665,0.000009984794,0.000001948865,0.000004619356,0.00009442033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7948905,"threshold_uncertainty_score":0.8197275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1925424600257122,"score_gpt":0.5413354462649476,"score_spread":0.3487929862392354,"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."}}