{"id":"W3205761417","doi":"10.2196/32404","title":"Exploring Children’s Engagement in Monitoring Indoor Air Quality: Longitudinal Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Indoor air quality; Longitudinal field; Interactivity; Community engagement; Usability; Air quality index; Sick building syndrome; Quality (philosophy); Built environment; Psychology; Computer science; Engineering; Multimedia; Public relations; Geography; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003968693,0.0001747489,0.000252838,0.001125765,0.0004805737,0.0002056218,0.0009386171,0.00006354726,0.00002359856],"category_scores_gemma":[0.0002990346,0.0001744477,0.00004794751,0.002708015,0.00009922348,0.003096261,0.001710329,0.001904676,0.0001836456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007223962,"about_ca_system_score_gemma":0.0001417031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108027,"about_ca_topic_score_gemma":0.00006084797,"domain_scores_codex":[0.9957555,0.001351309,0.0005383078,0.0005551363,0.001109672,0.0006900576],"domain_scores_gemma":[0.9979292,0.0003711209,0.0001116088,0.000739008,0.0007935488,0.00005556001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004454044,0.002130616,0.8354896,0.00005404894,0.0001517489,0.0002636431,0.07620732,0.00002651485,0.00190083,0.0437561,0.0001696268,0.03980537],"study_design_scores_gemma":[0.0007090033,0.0003337101,0.9514862,0.00008781743,8.974682e-7,0.0000151343,0.01279628,0.0001531824,0.03330093,0.0008445935,0.0001035302,0.0001687153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992201,0.00002862917,0.004931282,0.0006063953,0.0004574173,0.0006472949,0.000001514236,0.0001442492,0.0009822347],"genre_scores_gemma":[0.9976839,0.00001576503,0.001067386,0.00001386009,0.00009573423,0.001035224,0.000003092088,0.00001193828,0.00007314447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159966,"threshold_uncertainty_score":0.8274976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4023093844532143,"score_gpt":0.4902408044447235,"score_spread":0.08793141999150911,"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."}}