{"id":"W1497399501","doi":"10.1111/j.1467-9310.2010.00606.x","title":"Backing outsiders: selection strategies for discontinuous innovation","year":2010,"lang":"en","type":"article","venue":"R and D Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Norfolk General Hospital","funders":"Coloplast","keywords":"Cognitive reframing; Context (archaeology); Selection (genetic algorithm); Knowledge management; Work (physics); Business; Innovation management; Open innovation; Key (lock); Frame (networking); Marketing; Process management; Computer science; Engineering; Psychology","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":[0.0004094388,0.0001529636,0.0001197016,0.0005140011,0.0002700082,0.0007256402,0.0001020612,0.00004504571,0.00006728323],"category_scores_gemma":[0.00002203441,0.0001454158,0.00003130481,0.0006942837,0.00003354212,0.0008411791,0.0001250818,0.00009256206,0.0000525876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001211689,"about_ca_system_score_gemma":0.000006246044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002396595,"about_ca_topic_score_gemma":0.000206455,"domain_scores_codex":[0.9990839,0.000002454588,0.000269407,0.0002812069,0.0001320953,0.0002309229],"domain_scores_gemma":[0.9994982,0.0000102657,0.0001426024,0.0001310369,0.0002122478,0.000005682536],"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":[0.00001852984,0.00004224864,0.0009471797,0.0003319957,0.00003120101,9.36924e-7,0.00002957645,0.000004621841,0.0005974539,0.9686546,0.005917553,0.02342408],"study_design_scores_gemma":[0.001514483,0.00002362606,0.008189056,0.00004117105,0.0001120085,0.000001296224,0.003997059,0.006784411,0.00008838232,0.1499835,0.8287924,0.0004726023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08743717,0.00001573026,0.04433184,0.001835987,0.001663585,0.001444295,0.00000156641,0.0003629368,0.8629069],"genre_scores_gemma":[0.9920291,0.000004716086,0.002602144,0.002069001,0.0009063596,0.0001505001,0.00004887565,0.00002238623,0.002166943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9045919,"threshold_uncertainty_score":0.6997365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953003662247552,"score_gpt":0.2525386077715493,"score_spread":0.2330085711490738,"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."}}