{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01002728,0.0006282919,0.0006272137,0.003997034,0.003874235,0.009206416,0.001792705,0.002134971,0.007051632],"category_scores_gemma":[0.02955931,0.0004744966,0.001083711,0.00198382,0.004927221,0.006363278,0.007210375,0.001467952,0.001188707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452693,"about_ca_system_score_gemma":0.001658308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087496,"about_ca_topic_score_gemma":0.001396837,"domain_scores_codex":[0.9894319,0.005650417,0.0005041346,0.001227161,0.001813637,0.001372875],"domain_scores_gemma":[0.9735945,0.01506495,0.003126653,0.004540286,0.001782742,0.00189083],"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":[0.0003671676,0.0004781951,0.08961313,0.0005045708,0.0001386869,0.003961618,0.1414905,0.003504627,0.008519385,0.4053709,0.003870688,0.3421805],"study_design_scores_gemma":[0.0002346383,0.001193258,0.05925924,0.001407242,0.0003053655,0.006610596,0.2115501,0.03840226,0.01278453,0.4880386,0.1798634,0.000350865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7048787,0.0007506793,0.1613123,0.00191697,0.00007732818,0.0005885932,0.00006025174,0.0004118879,0.1300034],"genre_scores_gemma":[0.9775347,0.0001371403,0.01580821,0.0001535377,0.00002360729,0.0001606392,0.00004038133,0.00005840131,0.00608341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002728,"threshold_uncertainty_score":0.05302995,"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."}}