{"id":"W4408497205","doi":"10.1177/036063251704700402","title":"Inbox: What Do We Want? Long-term Well-being!","year":2017,"lang":"en","type":"article","venue":"Lighting Design + Application","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Term (time); Well-being; Psychology; Computer science; Psychotherapist; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009090295,0.0001720444,0.0001853063,0.0001021289,0.002180715,0.0008471361,0.001250041,0.0003289765,0.00004131897],"category_scores_gemma":[0.0001923606,0.0001770524,0.00005792175,0.0001692841,0.0004114845,0.001042391,0.0001395018,0.0002319762,0.0007114458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217606,"about_ca_system_score_gemma":0.00008188666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143729,"about_ca_topic_score_gemma":0.0002387488,"domain_scores_codex":[0.9982655,0.0001293584,0.0002693415,0.0005262219,0.0003585506,0.0004510044],"domain_scores_gemma":[0.9981051,0.0001653001,0.0004342781,0.001072547,0.0001137599,0.0001089809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003021149,0.0001345379,0.04340316,0.00004396538,0.00004259498,0.00001360728,0.01990472,0.000005518446,0.0146733,0.08752802,0.00163236,0.832588],"study_design_scores_gemma":[0.002943004,0.000245081,0.1042641,0.002098571,0.0002779368,0.00003716447,0.0094375,0.0009798731,0.2361032,0.4602388,0.1804631,0.002911682],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5929909,0.002754428,0.2661956,0.09377579,0.001711521,0.004852453,0.000002588883,0.003491335,0.03422536],"genre_scores_gemma":[0.9927514,0.00222616,0.003356301,0.0000853105,0.0004108274,0.0002166231,0.000003979899,0.00002816128,0.0009212799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8296763,"threshold_uncertainty_score":0.9991183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164778350613258,"score_gpt":0.3061688069391514,"score_spread":0.2845210234330189,"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."}}