{"id":"W3002096696","doi":"10.24908/pceea.vi0.13868","title":"THE INVERTED/INTEGRATIVE/OPEN LAB COURSE: A MECHANICAL ENGINEERING LAB EXAMPLE","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Teamwork; Plan (archaeology); Schedule; Test (biology); Engineering management; Computer science; Course (navigation); Test plan; Control (management); Software engineering; Systems engineering; Engineering; Artificial intelligence; Management; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001538249,0.0005299316,0.000357918,0.0004275571,0.001757962,0.001483126,0.002011736,0.001492816,0.01197271],"category_scores_gemma":[0.001861748,0.000230237,0.000366742,0.0006951347,0.0007654341,0.001268385,0.001154271,0.001061749,0.004452368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041701,"about_ca_system_score_gemma":0.001457947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002277598,"about_ca_topic_score_gemma":0.005009457,"domain_scores_codex":[0.9990127,0.0002436455,0.00003558676,0.0001064083,0.0004226216,0.0001789863],"domain_scores_gemma":[0.9983144,0.0006308631,0.00005889351,0.0001553601,0.0004246865,0.0004157695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003354988,0.01592191,0.01698008,0.001716745,0.00007302385,0.006814085,0.005350414,0.04209881,0.079636,0.1014787,0.1079228,0.6186524],"study_design_scores_gemma":[0.001059918,0.01185799,0.02913344,0.000736387,0.00009635213,0.003040698,0.01015171,0.1859622,0.1210553,0.0650723,0.571475,0.0003586511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4577685,0.0008496176,0.2875032,0.01030262,0.0007704794,0.002784416,0.001544827,0.002672965,0.2358032],"genre_scores_gemma":[0.6660024,0.000691017,0.2578717,0.001261883,0.0001882517,0.001247828,0.0009867772,0.0002697779,0.07148036],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01197271,"threshold_uncertainty_score":0.04005265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005824504879807142,"score_gpt":0.2109666934687527,"score_spread":0.2051421885889456,"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."}}