{"id":"W4231325585","doi":"10.31227/osf.io/xya5v","title":"IMPLEMENTASI MIKROKONTROLER ATMEGA328 DI BIDANG PERTANIAN DAN INDUSTRI","year":2018,"lang":"id","type":"preprint","venue":"","topic":"IoT-based Control Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada); Air Canada","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002382018,0.001892532,0.002073287,0.0006374946,0.0008456521,0.002643004,0.006761388,0.001547442,0.0009604056],"category_scores_gemma":[0.000168522,0.001726184,0.001020278,0.0009694734,0.0003708877,0.000799423,0.004939132,0.002095936,0.002648082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388651,"about_ca_system_score_gemma":0.001698236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007234752,"about_ca_topic_score_gemma":0.002851355,"domain_scores_codex":[0.9877039,0.001230589,0.002458515,0.003716188,0.0021369,0.002753873],"domain_scores_gemma":[0.990778,0.0004082366,0.001435289,0.005434338,0.0008589741,0.001085221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008700645,0.003582526,0.1173497,0.001752816,0.008834957,0.001829569,0.0165783,0.0006686506,0.01911226,0.1068815,0.4266613,0.2958783],"study_design_scores_gemma":[0.01171369,0.001948956,0.02998362,0.001502963,0.0007404195,0.0003290347,0.001171723,0.161853,0.007190579,0.0005367746,0.7765571,0.006472139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1954701,0.002022605,0.4499686,0.04211291,0.05086769,0.01622803,0.0008012908,0.003957156,0.2385716],"genre_scores_gemma":[0.9638505,0.00003846323,0.003675268,0.003723654,0.005783523,0.0005098284,0.0001753325,0.0002145905,0.02202883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7683804,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766778062477264,"score_gpt":0.2679780637149463,"score_spread":0.2403102830901736,"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."}}