{"id":"W2591637635","doi":"10.1016/j.jbusres.2016.12.028","title":"Dyadic specific investments, absorptive capacity, and manufacturers' market knowledge acquisition: Evidence from manufacturer–distributor dyads","year":2017,"lang":"en","type":"article","venue":"Journal of Business Research","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Absorptive capacity; Business; Distributor; Industrial organization; Marketing; Affect (linguistics); Commerce; Psychology; Engineering","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003017017,0.0003031381,0.0004696309,0.0009901627,0.001210955,0.002534429,0.001223783,0.0001584617,0.00155988],"category_scores_gemma":[0.0006798655,0.0002492945,0.0001051926,0.0005974942,0.0005643808,0.00301624,0.001034971,0.0007431051,0.0003860854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563457,"about_ca_system_score_gemma":0.0001041655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213256,"about_ca_topic_score_gemma":0.00005715706,"domain_scores_codex":[0.9971453,0.0001010411,0.0006766028,0.0004238052,0.001114164,0.0005390947],"domain_scores_gemma":[0.9948002,0.0002387958,0.0008857662,0.0007087432,0.003296327,0.00007013013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003133473,0.001432285,0.0710886,0.002453503,0.0009198305,0.001069339,0.001092656,0.000016041,0.006607802,0.07432941,0.7842813,0.05357571],"study_design_scores_gemma":[0.001698125,0.00004401808,0.7486091,0.001085618,0.00007075912,0.00002122398,0.0005666111,0.0002053734,0.0008652823,0.02051269,0.2259264,0.0003949064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7671381,0.004084066,0.001142382,0.01624339,0.003950132,0.0009538193,0.0000381405,0.00006234735,0.2063876],"genre_scores_gemma":[0.9923732,0.000576214,0.0003395167,0.0003837402,0.004355127,0.00001174211,0.00001811235,0.0000357631,0.001906595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6775205,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140302156382597,"score_gpt":0.3427311582385751,"score_spread":0.2024290018559781,"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."}}