{"id":"W1956956323","doi":"","title":"Technology offsets: structuring a new strategy for industrial benefits","year":2014,"lang":"en","type":"article","venue":"International Journal of Technology Management","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Structuring; Coproduction; Negotiation; Order (exchange); Business; Principal (computer security); Industrial organization; Technology strategy; Competitive advantage; Marketing; Strategic management; Public relations; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004988592,0.0006031354,0.0003738448,0.002400457,0.004397365,0.01202498,0.001202618,0.002893651,0.007701708],"category_scores_gemma":[0.003945538,0.0003213039,0.0004057604,0.001535748,0.01139763,0.01239944,0.009172561,0.002725755,0.0009251614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005423779,"about_ca_system_score_gemma":0.01017047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048054,"about_ca_topic_score_gemma":0.002113553,"domain_scores_codex":[0.9959459,0.001642647,0.0001520409,0.0005632516,0.001030875,0.0006652254],"domain_scores_gemma":[0.9977648,0.0007892735,0.0003557319,0.0003082434,0.0002912834,0.0004906175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002560195,0.00004437513,0.0009188741,0.0000605161,0.000005241116,0.0002225092,0.006252903,0.0008177753,0.001636218,0.9490461,0.0009911313,0.03997875],"study_design_scores_gemma":[0.00003747302,0.0002489356,0.002819098,0.0003047324,0.00001842429,0.0004435866,0.02028038,0.003853224,0.002656022,0.7488508,0.2204251,0.00006229267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2347332,0.002112384,0.2043888,0.01843422,0.000228416,0.0005636444,0.0000448526,0.0002736603,0.5392208],"genre_scores_gemma":[0.9309356,0.0004216744,0.03593161,0.0006591368,0.00007772873,0.0001891866,0.00002227581,0.00005577636,0.03170721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01202498,"threshold_uncertainty_score":0.03935248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059261162039746,"score_gpt":0.255343285997466,"score_spread":0.1494171697934915,"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."}}