{"id":"W6901392120","doi":"10.6068/dp14ba8fdb30043","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Science and Technology - Research and Development | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of plants with full-time employees who were involved in research and development activities | Variable: Semiconductor and other electronic component manufacturing, 75% to 100% of full-time employees who were involved in research and development activities, All plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-182.","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; Economic statistics; Official statistics; Publication; Summary statistics; Statistical analysis; Publishing; Statistics education; Social research","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":[0.002582134,0.002594921,0.00306463,0.01064494,0.00392866,0.005534488,0.005159653,0.001786938,0.09739711],"category_scores_gemma":[0.02568332,0.001817877,0.00212505,0.05688958,0.0007634898,0.002602408,0.002373696,0.003488113,0.05614033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06662519,"about_ca_system_score_gemma":0.1699994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953341,"about_ca_topic_score_gemma":0.9931318,"domain_scores_codex":[0.9935887,0.0003554043,0.0007783608,0.0006760949,0.003190448,0.001411037],"domain_scores_gemma":[0.9427288,0.002308881,0.001505269,0.001258284,0.05004733,0.002151554],"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":[0.00001947146,0.000007223318,0.0008193914,0.0002644211,0.00001566231,0.000005845907,0.00001869617,0.00009189228,0.000007292855,0.0002527926,0.9972627,0.00123467],"study_design_scores_gemma":[0.0001797557,0.00001416931,0.02873011,0.001011271,0.00008325811,0.00002443534,0.0006282743,0.0003466596,0.0001679768,0.0005616233,0.9681562,0.00009621263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004277067,0.0000500369,0.00001430679,0.0001142608,0.0000238447,0.00001163935,0.9990403,0.00003902839,0.0006637928],"genre_scores_gemma":[0.0008158457,0.0003289112,0.000348264,0.0002015443,0.00001998757,0.0001199464,0.9940549,0.00008368871,0.004026937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09739711,"threshold_uncertainty_score":0.4834018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127495561644225,"score_gpt":0.3209151732652449,"score_spread":0.2081656171008224,"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."}}