{"id":"W2164847424","doi":"10.25336/p69918","title":"A Life Space Perspective to Approach Individual Demographic Processes","year":2010,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Space (punctuation); Life course approach; Measure (data warehouse); Sociology; Dynamics (music); Computer science; Data science; Epistemology; Psychology; Social psychology; Artificial intelligence; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001522912,0.0007890197,0.0005115379,0.003388707,0.001878767,0.003000821,0.001668556,0.0009751873,0.006095649],"category_scores_gemma":[0.003015269,0.0002108483,0.000835339,0.00414606,0.006733783,0.00418761,0.002518455,0.002287278,0.0005183072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004823735,"about_ca_system_score_gemma":0.002677074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05261435,"about_ca_topic_score_gemma":0.05643158,"domain_scores_codex":[0.9991924,0.0004256588,0.00002971939,0.0001196736,0.0001205393,0.0001119694],"domain_scores_gemma":[0.9987318,0.0006297756,0.0001671971,0.0001380866,0.0001787519,0.0001545005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002934938,0.00001310895,0.002414096,0.00002867941,0.000009869442,0.0000384722,0.002057873,0.001823945,0.00005678784,0.9885237,0.0006286642,0.004401899],"study_design_scores_gemma":[0.000007292535,0.00003527007,0.005980923,0.0000866602,0.00002134027,0.00015767,0.005434152,0.008292601,0.00008604265,0.8903128,0.0895632,0.00002204942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06269912,0.01041839,0.7168013,0.01930754,0.0007668319,0.0002139002,0.001781872,0.0001332471,0.1878778],"genre_scores_gemma":[0.8465796,0.00821102,0.12501,0.001250949,0.0006170452,0.0004203968,0.0005980904,0.00007435561,0.01723858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9473857,"threshold_uncertainty_score":0.1046162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08913705774660442,"score_gpt":0.4220540789971436,"score_spread":0.3329170212505392,"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."}}