{"id":"W4243124587","doi":"10.1007/978-94-007-0753-5_100882","title":"Database of Happiness","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Happiness; Database; Information retrieval; Computer science; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005837682,0.0009517704,0.001069094,0.007409576,0.0008176243,0.003542327,0.001323097,0.0007020647,0.1802396],"category_scores_gemma":[0.004284158,0.0003287701,0.0005557077,0.008858061,0.0002160532,0.002482378,0.001862112,0.0009416246,0.1931747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092826,"about_ca_system_score_gemma":0.001114861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004044958,"about_ca_topic_score_gemma":0.004142794,"domain_scores_codex":[0.9994903,0.00005930554,0.00008986206,0.0001251551,0.0001767775,0.0000585994],"domain_scores_gemma":[0.9985546,0.0002788025,0.0001172664,0.0003079474,0.0005550724,0.0001862761],"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":[0.000122494,0.00002295412,0.0006879351,0.0005967793,0.0000159066,0.00004663126,0.00007714642,0.0002976828,0.0003707859,0.01001845,0.8798133,0.1079299],"study_design_scores_gemma":[0.00001094906,0.00001054026,0.001629014,0.0001542162,0.00001036652,0.0001049524,0.00009164892,0.0004228607,0.0004056189,0.006539088,0.9906042,0.00001655544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002764212,0.004895958,0.009768403,0.001039826,0.0008462684,0.000117942,0.8287357,0.005650268,0.1461814],"genre_scores_gemma":[0.01081354,0.00507463,0.008500657,0.0003888221,0.000277501,0.0002462866,0.8988911,0.001215556,0.07459189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1802396,"threshold_uncertainty_score":0.6029617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410074652738404,"score_gpt":0.3173542976227189,"score_spread":0.2732535510953349,"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."}}