{"id":"W2892876642","doi":"10.5539/ibr.v11n10p129","title":"Innovation Propensity in the Specialized Suppliers Industry","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Workforce; Propensity score matching; Business; Industrial organization; On demand; High tech; Economics; Marketing; Commerce; Microeconomics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001430708,0.0001215028,0.0003073669,0.001556007,0.0002870004,0.001138735,0.0002704957,0.0004570479,0.006940131],"category_scores_gemma":[0.006614058,0.0001197421,0.0005339648,0.00150035,0.0003914282,0.0007922608,0.001414154,0.0005808878,0.0006339101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299335,"about_ca_system_score_gemma":0.0004939312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003936056,"about_ca_topic_score_gemma":0.006867312,"domain_scores_codex":[0.9993105,0.0001404228,0.00005915999,0.0001478191,0.0001541131,0.0001878737],"domain_scores_gemma":[0.9872876,0.005274263,0.004279046,0.0004032893,0.0006406271,0.002115202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006016905,0.00005774411,0.9937738,0.00001987871,0.00003880951,0.0001202395,0.0003925783,0.0005470297,0.00050392,0.0003210753,0.0001628371,0.004001844],"study_design_scores_gemma":[0.000003898036,0.00007665724,0.9979425,0.000009356593,0.00001346776,0.00005378896,0.0006630093,0.0004460693,0.0001727886,0.0001497949,0.0004643034,0.000004435365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981644,0.0001263134,0.0001548596,0.00006974985,0.000002105,0.000006086797,0.0001449213,0.000003739974,0.001327901],"genre_scores_gemma":[0.9989774,0.00006122948,0.00003790656,0.0000142924,0.000005066214,0.000003201788,0.00017681,0.000001456498,0.0007226474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006940131,"threshold_uncertainty_score":0.02321702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.215393522614837,"score_gpt":0.3707260564430767,"score_spread":0.1553325338282396,"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."}}