{"id":"W2803305342","doi":"10.22215/timreview/763","title":"Generative Innovation Practices, Customer Creativity, and the Adoption of New Technology Products","year":2014,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Technology Assessment and Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creativity; Generative grammar; Business; Knowledge management; Marketing; Computer science; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104367,0.0003747063,0.0002435919,0.001908081,0.0005895371,0.004462985,0.0006438736,0.001334214,0.006099533],"category_scores_gemma":[0.007001219,0.0001915058,0.0003991805,0.003039447,0.002152673,0.001784394,0.00121785,0.001501443,0.0004476409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459341,"about_ca_system_score_gemma":0.001295578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005389655,"about_ca_topic_score_gemma":0.003702738,"domain_scores_codex":[0.9985068,0.0005518899,0.00007949211,0.0001851156,0.0005737885,0.0001028365],"domain_scores_gemma":[0.9850781,0.01130463,0.002373365,0.0002567876,0.0007529539,0.0002341293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001671468,0.001260151,0.1985516,0.003714966,0.0001771158,0.0006487752,0.01887815,0.001414031,0.001014826,0.1606979,0.01004036,0.6034349],"study_design_scores_gemma":[0.00006251295,0.0008628957,0.727528,0.007408625,0.0003599558,0.002148602,0.01443602,0.001592271,0.001861569,0.07352601,0.1700626,0.0001507514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5169839,0.2553332,0.004475372,0.01399976,0.0002983574,0.0001722621,0.0004490972,0.00007474246,0.2082133],"genre_scores_gemma":[0.9071748,0.08159923,0.002778006,0.001048286,0.0004132106,0.0001530734,0.0002460872,0.00001023365,0.006577034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006099533,"threshold_uncertainty_score":0.02040493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465906116210193,"score_gpt":0.2960323293562423,"score_spread":0.2713732681941404,"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."}}