{"id":"W7030473264","doi":"","title":"Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system","year":2023,"lang":"en","type":"article","venue":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","topic":"Education for Peace and Conflict Resolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Information and Communications Technology","keywords":"Articular cartilage damage; TSG101; Proteogenomics; Fusible alloy; Exclosure; Windage","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":[0.0007051439,0.0002119719,0.0003295157,0.0005839187,0.0008696145,0.00006292257,0.0004060011,0.0002543524,0.00003688021],"category_scores_gemma":[0.00002344814,0.000275408,0.0003236694,0.0009932375,0.0004806876,0.001436219,0.00007497313,0.0001558132,0.000009702045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075999,"about_ca_system_score_gemma":0.001368875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056661,"about_ca_topic_score_gemma":0.00000561259,"domain_scores_codex":[0.998008,0.0002190223,0.0004207513,0.0004290215,0.0005431226,0.0003800447],"domain_scores_gemma":[0.9981945,0.0001348446,0.0005616718,0.0002337998,0.0007226859,0.0001525709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002130657,0.0001173913,0.0004074573,0.0003231196,0.000167194,0.00004579747,0.007024677,0.7548465,0.004779005,0.231435,0.0002998529,0.0003410043],"study_design_scores_gemma":[0.0008140526,0.0001414295,0.0001224608,0.0003985356,0.0002830773,0.00002354425,0.02813893,0.962774,0.001576879,0.0003610853,0.005069514,0.0002965021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173676,0.00006188175,0.06746386,0.0002707037,0.0005760381,0.0005945305,0.00003615408,0.0001596245,0.01346962],"genre_scores_gemma":[0.9921715,0.00003817998,0.001844975,0.00001438418,0.0002061053,0.000005788073,0.0002304706,0.0000168736,0.005471728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2310739,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05541785079650197,"score_gpt":0.2729700473724113,"score_spread":0.2175521965759093,"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."}}