{"id":"W2122380018","doi":"10.1109/picmet.2003.1222823","title":"Exploiting new university technologies in product innovation: an empirical of the information and communications technology industry of Canada","year":2004,"lang":"en","type":"article","venue":"","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; New product development; Product (mathematics); Marketing; Information technology; Knowledge management; Technology management; Resource (disambiguation); Value (mathematics); Product innovation; Innovation management; Industrial organization; Key (lock); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001246202,0.0002622563,0.0003383649,0.002218224,0.006483943,0.003492017,0.0009798025,0.0006803948,0.003312714],"category_scores_gemma":[0.006015513,0.0003416006,0.0003458999,0.006178544,0.001886489,0.001245172,0.001716487,0.0009712295,0.0002704794],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04747266,"about_ca_system_score_gemma":0.06189768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892058,"about_ca_topic_score_gemma":0.9942555,"domain_scores_codex":[0.9979907,0.0001855691,0.00006147913,0.0001567417,0.001045798,0.0005597405],"domain_scores_gemma":[0.9949375,0.00116261,0.000632941,0.0001623293,0.00200543,0.001099155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002528335,0.0006651118,0.8459628,0.000345955,0.00007136993,0.001139209,0.04849746,0.002148699,0.001088018,0.01320356,0.006383126,0.08024181],"study_design_scores_gemma":[0.00002877763,0.00009383397,0.9119247,0.0001332251,0.00005494395,0.0002393581,0.05314833,0.003488919,0.0007157777,0.0008960299,0.02923163,0.00004445637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866756,0.0008428274,0.0001728417,0.0005211504,0.000004027522,0.00004945174,0.0002554566,0.000005844133,0.01147289],"genre_scores_gemma":[0.9944232,0.0008317892,0.0002132488,0.00007090289,0.000002349815,0.000009417617,0.0002015617,0.000003795754,0.004243748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9525273,"threshold_uncertainty_score":0.3444399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097966097127875,"score_gpt":0.2374214750060181,"score_spread":0.2064418140347393,"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."}}