{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006464568,0.0005937181,0.001050744,0.001224436,0.002556457,0.002359655,0.0008895929,0.001140171,0.002529982],"category_scores_gemma":[0.0106436,0.001008691,0.00134106,0.0008885747,0.001189969,0.001981177,0.003151216,0.00275324,0.0007536716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016283,"about_ca_system_score_gemma":0.001958986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01780772,"about_ca_topic_score_gemma":0.03398981,"domain_scores_codex":[0.9971091,0.000913982,0.0002070691,0.0005236439,0.0005589712,0.0006871704],"domain_scores_gemma":[0.994741,0.001268489,0.001210055,0.000437079,0.001546446,0.0007970409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003828754,0.002857163,0.8004555,0.0004624966,0.0001848523,0.0009797054,0.1653904,0.000137712,0.001492001,0.0004582576,0.001960929,0.02523815],"study_design_scores_gemma":[0.00005445863,0.002471678,0.8695025,0.0003617256,0.0001491713,0.0005529442,0.1177125,0.0002972157,0.000691748,0.0002439649,0.007866882,0.00009527955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983978,0.0002145983,0.0002237193,0.0001090798,0.000009604485,0.00009935686,0.0002881033,0.000006642277,0.0006511736],"genre_scores_gemma":[0.9966808,0.000437283,0.0009492655,0.0001268828,0.000008913255,0.0004718292,0.0004148032,0.00001255764,0.0008975808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01780772,"threshold_uncertainty_score":0.03540814,"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."}}