{"id":"W2901253113","doi":"10.1007/s11628-018-00393-y","title":"Innovation type and external knowledge search strategies in KIBS: evidence from Canada","year":2018,"lang":"en","type":"article","venue":"Service Business","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Industry Canada","keywords":"Business; Knowledge management; Product innovation; Product (mathematics); Focus (optics); Product type; Marketing; Industrial organization; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003415314,0.0004372246,0.001194018,0.004851926,0.008070125,0.006846034,0.002275131,0.001213541,0.008347146],"category_scores_gemma":[0.02184964,0.0006089163,0.0006267339,0.0142042,0.003565866,0.002420519,0.003325254,0.001626429,0.0006033781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0542246,"about_ca_system_score_gemma":0.09684832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962507,"about_ca_topic_score_gemma":0.9982044,"domain_scores_codex":[0.9961151,0.0003537262,0.0002149383,0.0003628577,0.001746463,0.001206835],"domain_scores_gemma":[0.9648313,0.008521363,0.005610284,0.001111891,0.01453386,0.005391307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005448406,0.0003914575,0.9297404,0.0005333966,0.0002847717,0.0004236578,0.02050604,0.0006559894,0.0002935964,0.00511839,0.007769931,0.03373763],"study_design_scores_gemma":[0.00007730983,0.00006404913,0.9542204,0.0005424046,0.0001723313,0.0000799335,0.03491671,0.0006432065,0.0002253803,0.0006430737,0.008343862,0.00007136012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783722,0.002648806,0.0001981737,0.001474253,0.00002268543,0.00006389757,0.002184874,0.00001407668,0.01502108],"genre_scores_gemma":[0.9928381,0.001861021,0.0001793731,0.0002520799,0.000006577404,0.00002576091,0.001081699,0.00001723498,0.003738169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0542246,"threshold_uncertainty_score":0.3934288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667479707953324,"score_gpt":0.2792022527063892,"score_spread":0.232527455626856,"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."}}