{"id":"W6964185500","doi":"10.25318/2710013401-eng","title":"Innovation and business strategy, advanced technology use","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology innovation; Information technology; Technology management; Innovation management; Productivity","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":[0.0008111758,0.001790443,0.001357634,0.005481447,0.001053357,0.00253983,0.003421008,0.002125589,0.04943281],"category_scores_gemma":[0.007307488,0.0006757244,0.001450276,0.01197514,0.0004274994,0.001653538,0.001856618,0.002434785,0.03858722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004842927,"about_ca_system_score_gemma":0.007149132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3563343,"about_ca_topic_score_gemma":0.4352382,"domain_scores_codex":[0.9989041,0.00007942718,0.0001779238,0.0002415869,0.0003064363,0.0002905991],"domain_scores_gemma":[0.9954087,0.0006038118,0.0008171832,0.0004490005,0.002253199,0.0004680877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004586932,0.0000261866,0.004903485,0.0005216592,0.00003943672,0.00001462305,0.00001959767,0.0001865482,0.00003526151,0.0005006699,0.9924541,0.001252611],"study_design_scores_gemma":[0.0004822602,0.00003599357,0.09378888,0.0009663529,0.0001332192,0.0001262285,0.000358834,0.0007299802,0.0002668702,0.001274427,0.9017549,0.00008219783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001351403,0.00003693167,0.00001126679,0.00003677215,0.00001086194,0.000004780902,0.9995127,0.00001953459,0.0002319112],"genre_scores_gemma":[0.0007098255,0.00006672462,0.00006714785,0.00003535916,0.000009273444,0.00005053473,0.998289,0.000009559953,0.0007625593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3563343,"threshold_uncertainty_score":0.7085204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647073743800463,"score_gpt":0.2423666331740412,"score_spread":0.2258958957360366,"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."}}