{"id":"W4286620535","doi":"10.5465/ambpp.2022.11794abstract","title":"Synchronous Computer-Aided Design (CAD): A Mid-level Technology Affordance Perspective","year":2022,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordance; Computer science; Human–computer interaction; Cloud computing; Knowledge management; Systems engineering; Engineering","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":[0.0004741414,0.0001796697,0.0002009224,0.000464127,0.0001602277,0.00002841198,0.0005389145,0.00007231639,0.0001756764],"category_scores_gemma":[0.00002082223,0.0002188828,0.00004453537,0.0008670826,0.00005829649,0.0003340666,0.0002219205,0.0004612181,0.00003403074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939192,"about_ca_system_score_gemma":0.0000118778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003505926,"about_ca_topic_score_gemma":4.649961e-8,"domain_scores_codex":[0.9988195,0.00001488897,0.0002682452,0.0003060071,0.0002882436,0.0003031557],"domain_scores_gemma":[0.9996479,0.00005075871,0.0001291783,0.00007533537,0.0000468483,0.00004999408],"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":[0.0002624072,0.0005635829,0.0002837158,0.0011296,0.001139824,0.00001607055,0.005865691,0.02504892,0.009215283,0.6147454,0.2138705,0.127859],"study_design_scores_gemma":[0.004207358,0.0014078,0.007898219,0.0002474335,0.000628773,0.0003001674,0.03866955,0.07046837,0.04525666,0.08515379,0.7433313,0.002430615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1619769,0.006037765,0.5247036,0.04739339,0.002626852,0.007295498,0.00006190377,0.005668307,0.2442358],"genre_scores_gemma":[0.9488594,0.0002216922,0.04910962,0.0004543489,0.00007390235,0.0003008295,0.0000012522,0.00004220781,0.0009367511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7868825,"threshold_uncertainty_score":0.8925781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148209708728409,"score_gpt":0.2664309631503511,"score_spread":0.2349488660630671,"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."}}