{"id":"W3030845242","doi":"10.1145/3313831.3376183","title":"Inhaling and Exhaling: How Technologies Can Perceptually Extend our Breath Awareness","year":2020,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Perception; Perspective (graphical); Human–computer interaction; Space (punctuation); Psychology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001211396,0.0001898685,0.000200368,0.0002037904,0.0001948613,0.0002394074,0.000762547,0.0001698832,0.000005854568],"category_scores_gemma":[0.0001996622,0.0001666301,0.00002928591,0.0005652067,0.0000932024,0.0005629883,0.0006323582,0.0003584893,0.00001539639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000463917,"about_ca_system_score_gemma":0.00005128642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000338593,"about_ca_topic_score_gemma":0.00002912294,"domain_scores_codex":[0.9987926,0.00002936669,0.0001750082,0.000563535,0.0001641641,0.0002752792],"domain_scores_gemma":[0.9992843,0.00002956049,0.00009906237,0.0003747951,0.0001740956,0.00003822137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002501078,0.0001104124,0.01043449,0.0001021642,0.0001352788,0.0003351016,0.01136239,0.00004307254,0.1500366,0.576804,0.005901216,0.2447103],"study_design_scores_gemma":[0.002258019,0.001574627,0.009795305,0.000228311,0.00005330914,0.001231591,0.1103193,0.1364059,0.6864265,0.03337086,0.01549656,0.002839753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4119165,0.00008564132,0.4555471,0.1278166,0.0002427663,0.0001904662,0.000002445672,0.003070248,0.001128236],"genre_scores_gemma":[0.9694885,0.00001797363,0.02935033,0.0008814358,0.00004047547,0.00001705461,0.000001906395,0.00001148438,0.0001908585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.557572,"threshold_uncertainty_score":0.6794978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05157265109839737,"score_gpt":0.2830089528680397,"score_spread":0.2314363017696423,"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."}}