{"id":"W6939353583","doi":"10.6068/dp14ba904e19f8","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Labor - Workplace Organization, Innovation and Performance | Country: Canada | Table: Survey of innovation, selected service industries, percentage of full-time employees who were involved in research and development activities | Variable: Research and development in the social sciences and humanitiesá, 10% to 24% of full-time employees who were involved in research and development activities, Non-innovative business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-147.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Earnings; Economic statistics; Official statistics; Work (physics); Summary statistics; Service (business); Product (mathematics)","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":[0.002620298,0.002523499,0.003205706,0.009699403,0.003460691,0.005056524,0.0060095,0.001699281,0.0727558],"category_scores_gemma":[0.02318442,0.001841257,0.002476439,0.0530289,0.0007315337,0.002127979,0.002510301,0.003664941,0.04327902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06088705,"about_ca_system_score_gemma":0.1418699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950413,"about_ca_topic_score_gemma":0.9926112,"domain_scores_codex":[0.9941941,0.0003356406,0.0007464195,0.0006280566,0.002745135,0.00135075],"domain_scores_gemma":[0.9408314,0.002195256,0.00174699,0.001286901,0.05171844,0.00222106],"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":[0.00002967777,0.00001140188,0.001537547,0.0003190077,0.0000226654,0.000006135063,0.00002285114,0.0001216425,0.00000730778,0.0001903909,0.996464,0.001267481],"study_design_scores_gemma":[0.0003597744,0.00002333333,0.06910345,0.001374723,0.0001223258,0.00002871067,0.0008781088,0.0005810042,0.0002190456,0.0006002685,0.9265834,0.0001258139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005856462,0.00003569729,0.00001216416,0.00008389563,0.00001921908,0.00001333513,0.9993143,0.00003292555,0.0004299245],"genre_scores_gemma":[0.0008167979,0.0001906615,0.0002236987,0.0001230036,0.00001593007,0.0001340461,0.9959875,0.00005482401,0.002453492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0727558,"threshold_uncertainty_score":0.4417686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305666883526918,"score_gpt":0.3260309606948997,"score_spread":0.1954642723422079,"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."}}