{"id":"W2914403949","doi":"10.3390/s19040801","title":"Waste Coffee Ground Biochar: A Material for Humidity Sensors","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Coffee research and impacts","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Relative humidity; Humidity; Materials science; Biochar; Thermogravimetric analysis; Polyvinyl alcohol; Composite material; Chemistry; Pyrolysis; Organic chemistry; Meteorology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002802613,0.0001814145,0.0003548118,0.0001399578,0.00006962889,0.00005061647,0.00008225589,0.0001112442,0.001667051],"category_scores_gemma":[0.0002751737,0.0001468021,0.0001583317,0.0001425225,0.0000678753,0.00007145417,0.00004624702,0.0001501552,0.0009803104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000928747,"about_ca_system_score_gemma":0.0001160327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009926284,"about_ca_topic_score_gemma":0.000009406405,"domain_scores_codex":[0.99846,0.0000545316,0.0002090756,0.0003124453,0.0003520089,0.0006119144],"domain_scores_gemma":[0.9989244,0.0001303986,0.00005506592,0.0004024826,0.0001356957,0.0003519329],"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":[0.004580673,0.0002762879,0.003221547,0.001052681,0.000270874,0.0001080795,0.0006000082,0.00003404026,0.9487488,0.0003281318,0.03714466,0.003634218],"study_design_scores_gemma":[0.01068464,0.004104831,0.02400456,0.0003606846,0.0001854471,0.000356763,0.001548725,0.002451714,0.8299507,0.0004569151,0.125104,0.0007910036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941548,0.00005052314,0.000005812689,0.001275096,0.0006604156,0.001224836,0.0001491991,0.00008678788,0.002392581],"genre_scores_gemma":[0.9854339,0.0000379641,0.0002136719,0.0002000479,0.0007766173,0.00001384388,0.0001011935,0.00004433023,0.0131784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1187981,"threshold_uncertainty_score":0.9997975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292558387028727,"score_gpt":0.3135625927663074,"score_spread":0.2806370088960202,"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."}}