{"id":"W7039451626","doi":"","title":"Living Longer
\\nUsing today’s emerging technology to
\\naddress issues related to aging in
\\nCanada in the year 2032","year":2012,"lang":"en","type":"other","venue":"OCAD University Open Research Repository (OCAD University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Population ageing; Quarter (Canadian coin); Ethnography; Population; Listing (finance); Emerging technologies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004392955,0.001078433,0.001422524,0.01681895,0.001836725,0.000608279,0.009001142,0.001518795,0.0001341312],"category_scores_gemma":[0.0003530786,0.001271993,0.0002527958,0.01690358,0.0009634653,0.001585385,0.005120287,0.004391041,0.001240006],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005643203,"about_ca_system_score_gemma":0.001492489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1931203,"about_ca_topic_score_gemma":0.2265206,"domain_scores_codex":[0.9874391,0.004105518,0.0006534486,0.002358266,0.002288825,0.003154859],"domain_scores_gemma":[0.9946786,0.0005583765,0.0005122144,0.002694485,0.0005814974,0.0009748981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001085153,0.001138981,0.1262973,0.0004201378,0.0009500728,0.02001202,0.0200585,0.001004176,0.003695463,0.6368217,0.1861927,0.00232372],"study_design_scores_gemma":[0.001639259,0.000217215,0.01462973,0.003468373,0.0001402531,0.00007896615,0.03682298,0.00005920481,0.0001321838,0.00003337563,0.9411908,0.00158762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1015226,0.0005422615,0.00002190287,0.001817476,0.0005394022,0.00357542,0.0001028394,0.0004293884,0.8914487],"genre_scores_gemma":[0.1773764,0.0002154095,0.0004024681,0.00006642491,0.0002014567,0.000005387443,0.00003549604,0.000652862,0.8210441],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7549981,"threshold_uncertainty_score":0.9997774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654406040918004,"score_gpt":0.3255392958688808,"score_spread":0.2889952354597007,"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."}}