{"id":"W4392016145","doi":"10.1002/hast.1556","title":"Related Developments and Debates in Canada: Time Line and Publications","year":2024,"lang":"en","type":"article","venue":"The Hastings Center Report","topic":"Optimism, Hope, and Well-being","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Line (geometry); Political science; Library science; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.008720744,0.0004298126,0.0006362552,0.006907992,0.009571791,0.01505142,0.002027554,0.00343133,0.01639515],"category_scores_gemma":[0.02677104,0.0003575778,0.0005124576,0.01992358,0.005300474,0.002771502,0.002686934,0.004809839,0.0007571519],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.143967,"about_ca_system_score_gemma":0.3265489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9811384,"about_ca_topic_score_gemma":0.9848768,"domain_scores_codex":[0.9923928,0.0006334904,0.0002723618,0.0004000555,0.004113944,0.002187315],"domain_scores_gemma":[0.9519095,0.009454671,0.001936034,0.0005805166,0.02793141,0.008187836],"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":[0.0002850361,0.0001343291,0.01140149,0.00202018,0.00006878442,0.0003763517,0.01096818,0.0004261867,0.0003393077,0.1515044,0.6732472,0.1492285],"study_design_scores_gemma":[0.00003266514,0.00002795829,0.04431193,0.002994762,0.00004909683,0.00008809812,0.02372479,0.0001550318,0.0004047847,0.00556027,0.9225502,0.0001003078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03813009,0.2372099,0.0003613356,0.5183346,0.0108714,0.0001180261,0.006239414,0.00007673209,0.1886585],"genre_scores_gemma":[0.4796723,0.3177157,0.001570675,0.06756189,0.005169693,0.0001359744,0.002651208,0.0001915549,0.1253311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.856033,"threshold_uncertainty_score":0.9928769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205551476761652,"score_gpt":0.2544546408160756,"score_spread":0.242399126048459,"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."}}