{"id":"W6957790559","doi":"10.6068/dp14ba8f96b6777","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Science and Technology - Innovation | Country: Canada | Table: Survey of innovation, selected service industries, percentage of innovative business units that had an impact from new or significantly improved products or processes | Variable: Agree, Innovation impact was an increase in the business unit's international market share, Research and development in the physical, engineering and life sciences | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-181.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Business statistics; Census; Official statistics; Publication; Service (business); Summary statistics; Descriptive statistics","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":[0.002721196,0.002551346,0.003186119,0.01109601,0.004059979,0.005734995,0.00586723,0.001825242,0.09557144],"category_scores_gemma":[0.02769998,0.001958836,0.002405389,0.06403814,0.0008349987,0.002665271,0.002596381,0.003632828,0.05655284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07119402,"about_ca_system_score_gemma":0.1815154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951158,"about_ca_topic_score_gemma":0.9922485,"domain_scores_codex":[0.9929922,0.0003750859,0.0008680267,0.0006881833,0.003585034,0.001491506],"domain_scores_gemma":[0.9298288,0.002740945,0.00189108,0.00157435,0.06148006,0.002484613],"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":[0.00002393974,0.000009435482,0.001023703,0.0002971918,0.00001808635,0.000005628867,0.00001966171,0.0000989656,0.000007573904,0.0002656364,0.9969531,0.001277069],"study_design_scores_gemma":[0.0002382058,0.0000161092,0.0377924,0.001077301,0.00009715861,0.00002447684,0.0006811458,0.0003927701,0.000205,0.0006222324,0.9587434,0.0001097313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004386211,0.00003648715,0.00001325477,0.0001001406,0.00002035477,0.00001365635,0.9990558,0.0000403611,0.0006760893],"genre_scores_gemma":[0.0007868296,0.0002650415,0.0003168153,0.0001682789,0.00001850366,0.0001534005,0.994508,0.00008879683,0.003694431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09557144,"threshold_uncertainty_score":0.5165512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104838318908405,"score_gpt":0.3236368462024017,"score_spread":0.2131530143115612,"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."}}