{"id":"W2409494868","doi":"","title":"Absorptive capacity and mass customization capability","year":2015,"lang":"en","type":"book-chapter","venue":"Research Portal (Queen's University Belfast)","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Absorptive capacity; Mass customization; Knowledge acquisition; Knowledge management; Supply chain; Personalization; Knowledge value chain; Context (archaeology); Business; Computer science; Process management; Organizational learning; Marketing; Geography","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":[0.00212756,0.0003867493,0.0001759897,0.001543576,0.0003297567,0.001723453,0.0005275739,0.0004828205,0.006127367],"category_scores_gemma":[0.01230325,0.0001962358,0.000341861,0.00111886,0.001555252,0.001730294,0.00154811,0.0005984018,0.0004506392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292196,"about_ca_system_score_gemma":0.001345197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957155,"about_ca_topic_score_gemma":0.001902184,"domain_scores_codex":[0.9988074,0.0004242889,0.00006325561,0.000149496,0.0003853381,0.0001702608],"domain_scores_gemma":[0.9661803,0.02186641,0.007179301,0.001674078,0.001676114,0.001423921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003826856,0.0009883504,0.6625124,0.0007827276,0.0004089059,0.001574288,0.006302789,0.02473251,0.01108397,0.05114736,0.001493374,0.2385907],"study_design_scores_gemma":[0.00004367805,0.0006680759,0.9125645,0.0006475672,0.000205953,0.001186991,0.004739397,0.02174609,0.007046642,0.03916113,0.01190059,0.00008943131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255075,0.001299678,0.005079903,0.0008725112,0.00001330744,0.00007432215,0.0001085656,0.00008237868,0.06696175],"genre_scores_gemma":[0.9981478,0.0002106543,0.0008100393,0.00002345562,0.00000568354,0.000009382271,0.00002000591,0.000002405044,0.0007704457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006127367,"threshold_uncertainty_score":0.02049804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645189252879603,"score_gpt":0.2402886808762962,"score_spread":0.2038367883475002,"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."}}