{"id":"W6901610638","doi":"10.6068/dp14ba8fb827f4","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 university graduates | Variable: Support activities for forestry, 10% to 24% of full-time employees who were university graduates, 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; Economic statistics; Earnings; Service (business); Work (physics); Official statistics; Summary statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002375499,0.002571334,0.002943211,0.008687571,0.00334318,0.005189794,0.005901349,0.001683783,0.07504248],"category_scores_gemma":[0.02042558,0.001829363,0.002233296,0.04775428,0.0007321683,0.00214203,0.002391546,0.003526673,0.05238237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05066311,"about_ca_system_score_gemma":0.1191861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935763,"about_ca_topic_score_gemma":0.9910375,"domain_scores_codex":[0.9950007,0.0002856988,0.0006059178,0.0005983078,0.002280127,0.001229286],"domain_scores_gemma":[0.9512028,0.001977298,0.001438109,0.001249349,0.04223493,0.001897486],"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":[0.0000254471,0.000009749427,0.001354001,0.000261914,0.00001924517,0.0000060089,0.00002080538,0.0001116728,0.000008144125,0.0001739301,0.9968268,0.001182187],"study_design_scores_gemma":[0.0003055616,0.00001658244,0.04589688,0.001050778,0.00009045719,0.00002577184,0.0006715166,0.0005001224,0.0002148359,0.000562184,0.9505599,0.000105429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004569413,0.00002738908,0.0000105772,0.00007025546,0.00001442209,0.00000919988,0.9994015,0.0000341892,0.0003868062],"genre_scores_gemma":[0.0005767281,0.0001382529,0.0001848107,0.00009027785,0.00001194156,0.00008939625,0.9968938,0.00005539734,0.001959485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9249575,"threshold_uncertainty_score":0.3675883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547003739258037,"score_gpt":0.2272850205464843,"score_spread":0.2018149831539039,"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."}}