{"id":"W3162432519","doi":"10.3390/s21103423","title":"A Review on Advanced Sensing Materials for Agricultural Gas Sensors","year":2021,"lang":"en","type":"review","venue":"Sensors","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Research Nova Scotia; University of Windsor; Dalhousie University; CMC Microsystems","keywords":"Materials science; Graphene; Nanotechnology; Analyte; Hydrogen sulfide; Process engineering; Chemistry; Sulfur","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000484022,0.001360251,0.004813903,0.0002141286,0.000164635,0.0001920949,0.000236544,0.0005975434,0.00008520634],"category_scores_gemma":[0.0004792415,0.001047882,0.001169104,0.0004770744,0.00005395305,0.00006710664,0.00005358909,0.0003519083,0.0002826343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834546,"about_ca_system_score_gemma":0.00008029433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005985496,"about_ca_topic_score_gemma":0.00000371825,"domain_scores_codex":[0.9957147,0.0003979414,0.001583683,0.0009022932,0.0004067188,0.0009947253],"domain_scores_gemma":[0.9977346,0.0004664418,0.0004151411,0.00086133,0.0002991139,0.0002233599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001403896,0.00003748185,5.039583e-9,0.2259696,0.0007476932,0.0002536529,0.00008970395,0.001858934,0.002359066,0.0001361551,0.02605645,0.7424772],"study_design_scores_gemma":[0.0002077639,0.00005111664,1.291017e-7,0.1403841,0.0009554813,0.0004714651,0.00003100001,0.00004176046,0.001701713,0.000005340591,0.8550622,0.001087928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003537216,0.9885212,0.000003375793,0.00005591915,0.003630783,0.002489083,0.0004981629,0.0007183156,0.0005460006],"genre_scores_gemma":[0.00003018829,0.9957967,0.00141173,0.0001353231,0.0008396651,0.00004760597,0.000853046,0.0003858443,0.0004999239],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8290058,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015704862968995,"score_gpt":0.2824729229858081,"score_spread":0.2523158743561182,"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."}}