{"id":"W4220784976","doi":"10.1016/j.ohx.2022.e00296","title":"Low cost climate station for smart agriculture applications with photovoltaic energy and wireless communication","year":2022,"lang":"en","type":"article","venue":"HardwareX","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Instituto Tecnológico Metropolitano","keywords":"Photovoltaic system; Weather station; Computer science; Wireless; Environmental science; Upload; Solar energy; Energy harvesting; Work (physics); Wind speed; Real-time computing; Electrical engineering; Telecommunications; Automotive engineering; Meteorology; Energy (signal processing); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002392065,0.0005603157,0.0003494346,0.0006194701,0.0003524252,0.0005864464,0.001466218,0.000717701,0.009538916],"category_scores_gemma":[0.0002908527,0.0002644606,0.0005204461,0.000586371,0.0001759787,0.0005910295,0.0005738424,0.0005152581,0.004615619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004549393,"about_ca_system_score_gemma":0.0005519584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000529508,"about_ca_topic_score_gemma":0.001113545,"domain_scores_codex":[0.999684,0.00003006482,0.00001278522,0.00007823832,0.0001567967,0.00003816753],"domain_scores_gemma":[0.9997134,0.00003091947,0.00005933145,0.00007345892,0.00009110812,0.00003185964],"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":[0.000282751,0.0003155341,0.01071532,0.0005878254,0.00009424699,0.000481023,0.0001653878,0.005494008,0.692453,0.004991282,0.02135019,0.2630694],"study_design_scores_gemma":[0.0001918214,0.002863472,0.04123229,0.0001067803,0.000256937,0.001966848,0.0002088427,0.05152288,0.5743771,0.002110639,0.3249973,0.0001651847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.265606,0.0009742774,0.6717959,0.0007604244,0.0007833958,0.001026903,0.003038348,0.009576596,0.04643814],"genre_scores_gemma":[0.6929471,0.0004805407,0.2456133,0.0004236444,0.0001422479,0.0007359003,0.002232114,0.0003163538,0.05710871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009538916,"threshold_uncertainty_score":0.03191084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005471348666948672,"score_gpt":0.2052703867740445,"score_spread":0.1997990381070958,"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."}}