{"id":"W7015035569","doi":"","title":"Satellites, Coding &amp; Air Sensors: Air quality research using PurpleAir sensors, TEMPO and Python","year":2024,"lang":"en","type":"article","venue":"ValpoScholar (Valparaiso University)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Python (programming language); Air quality index; Coding (social sciences); Quality assurance; Data quality; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003485803,0.0003263765,0.0003395815,0.0004665355,0.001232878,0.0002112439,0.0004076934,0.0002629013,0.0001695111],"category_scores_gemma":[0.0003811785,0.0003568546,0.000186319,0.001755661,0.0006129944,0.001153371,0.0007113697,0.001177838,0.0005549559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007832078,"about_ca_system_score_gemma":0.00006022156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693968,"about_ca_topic_score_gemma":0.00005745442,"domain_scores_codex":[0.9956403,0.001256156,0.0003648672,0.001031552,0.0008775432,0.0008295679],"domain_scores_gemma":[0.9982146,0.0007296675,0.00009386385,0.0005388988,0.00005603783,0.000366957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008088916,0.0007431263,0.228677,0.0018789,0.0007382895,0.002265962,0.02700758,0.03505861,0.6322963,0.01949147,0.006670482,0.04436338],"study_design_scores_gemma":[0.0007458871,0.0001683657,0.02290761,0.0006289788,0.0001370426,0.0001571877,0.00393658,0.007594785,0.01083719,0.0006962072,0.9509193,0.001270891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987061,0.0003859198,0.001123279,0.0004169316,0.0003589447,0.000293894,0.00003294002,0.0004219435,0.009905207],"genre_scores_gemma":[0.9773666,0.0002020797,0.009979057,0.00003733972,0.0002445249,8.665439e-7,0.00001546031,0.00006400325,0.01209006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9442488,"threshold_uncertainty_score":0.9998884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520340393011052,"score_gpt":0.3591161500200465,"score_spread":0.2070821107189413,"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."}}