{"id":"W3092772252","doi":"10.1002/aps3.11393","title":"Using microcontrollers and sensors to build an inexpensive CO<sub>2</sub> control system for growth chambers","year":2020,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Microcontroller; Embedded system; Arduino; Control (management); Monitoring and control; Control system; Plant growth; Computer hardware; Computer science; Biology; Engineering; Control engineering; Electrical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003915674,0.001134857,0.0004648617,0.0005953375,0.0003300744,0.0006310278,0.001241726,0.0005476745,0.004646131],"category_scores_gemma":[0.001000933,0.0004781067,0.0002831166,0.0002825249,0.0004377138,0.001006845,0.0005605812,0.000628377,0.001470706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004159781,"about_ca_system_score_gemma":0.0003944401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005645268,"about_ca_topic_score_gemma":0.0008129757,"domain_scores_codex":[0.9993688,0.00006041307,0.00005217477,0.0001471196,0.0003225706,0.00004887042],"domain_scores_gemma":[0.9992224,0.0001801814,0.0001381031,0.00009032697,0.0003124641,0.00005661532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001093945,0.0000693802,0.001039377,0.0003207083,0.00002635637,0.0001546335,0.00005875319,0.001978621,0.9500984,0.001071633,0.001872999,0.0431996],"study_design_scores_gemma":[0.00005598837,0.0006147613,0.004714138,0.00004114175,0.00006570295,0.0005376134,0.00003863553,0.01927568,0.9381585,0.0005250938,0.03591096,0.0000617281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1737794,0.0008548688,0.7997004,0.0005931809,0.0008251016,0.001287061,0.0006757521,0.01026574,0.01201852],"genre_scores_gemma":[0.4732188,0.0005075814,0.5094469,0.0005179194,0.0001720524,0.001162627,0.0004849583,0.0005812028,0.013908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004646131,"threshold_uncertainty_score":0.01554281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624611810258388,"score_gpt":0.2512638700474221,"score_spread":0.2150177519448382,"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."}}