{"id":"W4289373838","doi":"","title":"Embedded Personal Physicalizations","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004219088,0.0003093342,0.0003538814,0.0002230919,0.001227426,0.0004074412,0.00183343,0.0006296568,0.0006421523],"category_scores_gemma":[0.003896562,0.0003603295,0.0002412602,0.0006211724,0.001606019,0.0001665537,0.001306945,0.0007503998,0.0002586394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217014,"about_ca_system_score_gemma":0.0008593986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00320979,"about_ca_topic_score_gemma":0.01372187,"domain_scores_codex":[0.9920583,0.005467107,0.0004027199,0.0008698177,0.0006716904,0.0005303857],"domain_scores_gemma":[0.993758,0.0009919067,0.0004337155,0.001620811,0.002962204,0.000233357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001050028,0.001228547,0.004235704,0.0001284341,0.0002118765,0.000007984219,0.2849806,0.00001061325,0.0007245147,0.6404455,0.03272965,0.03528609],"study_design_scores_gemma":[0.002593918,0.000001913627,0.01649546,0.00710634,0.0004529884,0.00001406133,0.01208503,0.02745245,0.04132946,0.2072882,0.6812821,0.003898103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2998339,0.000819258,0.1496711,0.0813804,0.001188633,0.001529635,0.0002252263,0.002828452,0.4625233],"genre_scores_gemma":[0.9516509,0.0003958888,0.02433054,0.0001873042,0.0001573048,0.0001196722,0.0003221704,0.00005926023,0.02277698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.651817,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789646800320789,"score_gpt":0.2714537127710439,"score_spread":0.253557244767836,"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."}}