{"id":"W1500411974","doi":"10.1109/pes.2003.1267132","title":"Industry/university research collaborative: a means for strengthening power engineering education programs","year":2004,"lang":"en","type":"article","venue":"2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"General partnership; Restructuring; Reputation; Engineering education; Engineering management; Electric power industry; Electric power; Power (physics); Monopolistic competition; Position (finance); Value (mathematics); Business; Industrial organization; Engineering; Computer science; Economics; Electrical engineering; Electricity; Political science; Monopoly; Finance","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":[0.001396238,0.0008212305,0.0006712598,0.0003827723,0.0004788386,0.000225881,0.0007966227,0.001113673,0.00004194125],"category_scores_gemma":[0.0003007321,0.000953129,0.0004729991,0.002774273,0.0001131414,0.0005099591,0.00006476264,0.002009464,0.00004884412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564861,"about_ca_system_score_gemma":0.0005403938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008721385,"about_ca_topic_score_gemma":0.000009789594,"domain_scores_codex":[0.9957873,0.00009618724,0.0007233914,0.0009026268,0.000854787,0.001635763],"domain_scores_gemma":[0.9970897,0.0001753257,0.0001265388,0.0007150209,0.001340393,0.0005529885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000232959,0.0001771221,0.0001399463,0.0003560351,0.0004397457,0.000008403023,0.003982589,0.7678015,0.2202997,0.0003603726,0.00590186,0.0005094149],"study_design_scores_gemma":[0.002963668,0.0004055214,0.0002215232,0.001965584,0.0002954385,0.00003025138,0.003068794,0.8056842,0.08217841,0.00004837369,0.100236,0.002902178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108478,0.0006114949,0.07918021,0.0001900638,0.00512932,0.001441219,0.00008358442,0.001652314,0.00086397],"genre_scores_gemma":[0.7936456,0.0002271105,0.2028238,0.00007513615,0.001053921,0.0002102782,0.0001070941,0.0004414936,0.001415567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1381213,"threshold_uncertainty_score":0.9992919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335931332368502,"score_gpt":0.2558787271195511,"score_spread":0.2425194137958661,"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."}}