{"id":"W4206866705","doi":"","title":"Describing and Assessing Co‐Design Competences: Some Pre‐liminary Results","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007692127,0.0003641561,0.0003706616,0.0002112785,0.0003422454,0.0009984152,0.0007216683,0.0002962308,0.00005799303],"category_scores_gemma":[0.002402051,0.0004130526,0.00008813379,0.0001897944,0.0001752208,0.000497494,0.0003654705,0.0008488586,0.00004034956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159608,"about_ca_system_score_gemma":0.0002506448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001959381,"about_ca_topic_score_gemma":0.00004209593,"domain_scores_codex":[0.9932916,0.004814336,0.0005817795,0.0006317286,0.0003293716,0.0003512417],"domain_scores_gemma":[0.9931122,0.004181075,0.0003578689,0.001430693,0.0006533209,0.0002648453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002190494,0.001858342,0.001474156,0.003653272,0.0009253937,0.00005278942,0.1255307,0.04803487,0.03936123,0.09056805,0.05857459,0.6297476],"study_design_scores_gemma":[0.001686023,0.00000229737,0.006518962,0.009622253,0.0002631911,0.0001005802,0.001226348,0.8382255,0.06156057,0.00729534,0.07125086,0.002248097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06019638,0.003614164,0.8249874,0.006883845,0.001107419,0.0008385569,0.00006183441,0.001138518,0.1011719],"genre_scores_gemma":[0.88203,0.001225858,0.1140861,0.0001450847,0.00006671978,0.0000617527,0.0003218061,0.00007600809,0.001986683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8218336,"threshold_uncertainty_score":0.9998322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458624733887931,"score_gpt":0.2647088007919639,"score_spread":0.2188463274031708,"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."}}