{"id":"W6957735489","doi":"10.6068/dp14ba85b87cd53","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Seniors - Income, Pensions and Wealth | Country: Canada | Table: Survey of innovation, selected service industries, innovative business units engaged in activities linked to product or process innovation | Variable: Acquisition of equipment and machinery, Testing laboratoriesá | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-185.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Census; Economic statistics; Government (linguistics); Population; Service (business); Summary statistics; Socioeconomic status; Social security; Investment (military)","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":[0.002193983,0.002291806,0.002792491,0.00818328,0.003600674,0.005285873,0.005325329,0.00164882,0.09088229],"category_scores_gemma":[0.02019488,0.001729628,0.002144756,0.04383477,0.0006718353,0.002388441,0.002501032,0.003255822,0.05676584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05168488,"about_ca_system_score_gemma":0.1242417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940706,"about_ca_topic_score_gemma":0.9922732,"domain_scores_codex":[0.9955303,0.0002444953,0.0005299146,0.0005267434,0.002053082,0.001115492],"domain_scores_gemma":[0.9600305,0.001493077,0.001195498,0.001075363,0.03440922,0.001796403],"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":[0.00001960314,0.000006648941,0.0009526317,0.0002457196,0.00001576288,0.000006202828,0.00002097889,0.00007245636,0.000006762876,0.0002465071,0.99728,0.001126839],"study_design_scores_gemma":[0.0001874523,0.00001270684,0.03362543,0.001089828,0.00007793233,0.00002640489,0.0006059093,0.0003160793,0.0001741226,0.0005319724,0.9632561,0.00009609803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004077645,0.00003804616,0.00001135802,0.00008338237,0.0000172354,0.00001080832,0.9991801,0.00002958374,0.0005886076],"genre_scores_gemma":[0.0007312219,0.0002493224,0.0002528654,0.0001416222,0.00001552868,0.0001172803,0.9951071,0.00006375179,0.0033213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09088229,"threshold_uncertainty_score":0.3750018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06097107971991336,"score_gpt":0.2874857598577806,"score_spread":0.2265146801378672,"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."}}