{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342236,0.0001595714,0.0001471995,0.0003810597,0.0001355696,0.0004020177,0.0002538815,0.000049655,0.0002302727],"category_scores_gemma":[0.0001051488,0.0001555886,0.000004898037,0.005942155,0.00004260818,0.001267914,0.0002954114,0.0001078238,0.0002233526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008114389,"about_ca_system_score_gemma":0.0003506823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5437981,"about_ca_topic_score_gemma":0.8376513,"domain_scores_codex":[0.9989166,0.00001261394,0.000303155,0.0003002768,0.0002234559,0.0002438739],"domain_scores_gemma":[0.9965907,0.00003336319,0.0001032487,0.0002092008,0.003056173,0.000007297373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007138899,0.000459886,0.3160903,0.003941753,0.00009587198,0.00009178234,0.002563826,0.0001366057,0.01906456,0.5869427,0.01142585,0.05847297],"study_design_scores_gemma":[0.0008156109,0.00000908333,0.9562789,0.0008308434,0.00002210129,9.449058e-7,0.0032193,0.009517183,0.0002381476,0.004806528,0.02380999,0.0004514306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572996,0.0001920965,0.0002205631,0.002019827,0.0009698979,0.0001925769,0.000001337239,0.00005096686,0.03905307],"genre_scores_gemma":[0.9949079,0.000009021212,0.0001523049,0.003221428,0.001426347,0.000007937302,0.00003555057,0.00001838303,0.0002211675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6401886,"threshold_uncertainty_score":0.634472,"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."}}