{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003724569,0.000094986,0.0001089506,0.00006943278,0.00007816332,0.00005673526,0.00007198148,0.00003650748,0.0001167411],"category_scores_gemma":[0.00006586027,0.00007058401,0.00001107741,0.000182038,0.00003995767,0.00007002986,0.0000687987,0.0001628832,0.0000323735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007144388,"about_ca_system_score_gemma":0.0001964776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08610086,"about_ca_topic_score_gemma":0.03102021,"domain_scores_codex":[0.9990929,0.00002775425,0.0003249392,0.0002616114,0.00008760071,0.0002051512],"domain_scores_gemma":[0.9996048,0.00008304242,0.00006691096,0.0001602117,0.00002804856,0.00005698958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005819579,0.0001962352,0.8522721,0.0001260019,0.0006677022,0.003853088,0.02673906,0.00002122718,0.001361231,0.002989815,0.03731332,0.07440201],"study_design_scores_gemma":[0.001136939,0.00004555025,0.8481416,0.0004804769,0.00009218047,0.01037442,0.001044015,0.002788333,0.000282646,0.001477228,0.1335526,0.0005839629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456055,0.0004916254,0.0000289528,0.003236546,0.0003358863,0.0001599846,0.000004474216,0.00006680816,0.05007018],"genre_scores_gemma":[0.9801654,0.00001929034,0.00009999597,0.000187547,0.00002508273,0.0000156453,0.00003000931,0.00001752595,0.01943951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09623932,"threshold_uncertainty_score":0.9866611,"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."}}