{"id":"W2533392976","doi":"10.18374/jibe-16-3.6","title":"SUCH USEFUL TECHNOLOGIES, SO HARD TO ADOPT: INHIBITORS AND FACILITATORS OF ADOPTION OF ADVANCED MANUFACTURING TECHNOLOGIES IN SMES IN CANADA","year":2016,"lang":"en","type":"article","venue":"Journal of International Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Advanced manufacturing; Emerging technologies; Manufacturing; Marketing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009098917,0.0001605535,0.00020936,0.001170808,0.001340794,0.001409121,0.0005071723,0.0003255035,0.001632111],"category_scores_gemma":[0.006021375,0.000120666,0.000237474,0.001988081,0.000657513,0.0003604148,0.0007787131,0.0004589881,0.00009582569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008921632,"about_ca_system_score_gemma":0.01836809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9614876,"about_ca_topic_score_gemma":0.9826528,"domain_scores_codex":[0.9992719,0.0001097408,0.00003797766,0.00007980523,0.0002555624,0.0002449541],"domain_scores_gemma":[0.9914112,0.002541354,0.002213271,0.000146461,0.002271306,0.001416402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004287917,0.00003569558,0.9906114,0.00003444459,0.0000178702,0.0001143466,0.002200291,0.0002283604,0.0003744406,0.0002730417,0.000333134,0.005734229],"study_design_scores_gemma":[0.000002444996,0.00001314217,0.992446,0.00004206542,0.00001175242,0.00003007456,0.005862527,0.0005115427,0.0001667629,0.00003215747,0.0008738568,0.000007617969],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997979,0.0002000666,0.00004857044,0.0002535273,0.000001720231,0.000007867367,0.0002143372,0.00000247082,0.001292502],"genre_scores_gemma":[0.9993148,0.000177005,0.000049449,0.0000235059,0.00000113988,0.000003567122,0.00008394712,8.370155e-7,0.0003457263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03851241,"threshold_uncertainty_score":0.07747835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250695288686779,"score_gpt":0.1903402667087381,"score_spread":0.1778333138218703,"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."}}