{"id":"W6887942227","doi":"10.17632/pcvf2kryc8","title":"BoSL-Ammonia-sensor","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Code (set theory); Software; Set (abstract data type); Process (computing); Identification (biology)","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":[0.000895809,0.005284839,0.002225623,0.003049757,0.0009846987,0.002033754,0.004268269,0.003801851,0.05069091],"category_scores_gemma":[0.003644728,0.001102603,0.002807884,0.003742991,0.0006323152,0.00168575,0.002251458,0.002423095,0.08000796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517162,"about_ca_system_score_gemma":0.002161671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03264374,"about_ca_topic_score_gemma":0.05850392,"domain_scores_codex":[0.9986358,0.0001482982,0.0001078631,0.0003881081,0.0005353772,0.0001845622],"domain_scores_gemma":[0.9987476,0.0003243839,0.00008743189,0.0003979282,0.0003154479,0.000127258],"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":[0.0001363048,0.00007581408,0.0007484222,0.0009538625,0.00006532311,0.00005293559,0.00002505981,0.002130167,0.0007467191,0.0004635166,0.9888889,0.005712817],"study_design_scores_gemma":[0.0005546415,0.00009974415,0.004362612,0.000407067,0.00009777762,0.0001790535,0.000150093,0.009335272,0.004556396,0.003588825,0.9765296,0.0001389478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004562005,0.0001483541,0.0003495606,0.00007571562,0.00005387938,0.00002722839,0.9938234,0.003982079,0.001083559],"genre_scores_gemma":[0.0005859032,0.00006840678,0.0008662326,0.00004829423,0.00000461231,0.00006425278,0.9976089,0.0002517381,0.0005016296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05069091,"threshold_uncertainty_score":0.169578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770394136546363,"score_gpt":0.2524049413722378,"score_spread":0.2247010000067742,"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."}}