{"id":"W2005032683","doi":"10.4141/cjss09015","title":"Identifying appropriate methodology to diagnose aeration limitations with large peat and bark particles in growing media","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Institut National de la Recherche Agronomique","keywords":"Peat; Sawdust; Aeration; Bark (sound); Sphagnum; Thermal diffusivity; Bulk density; Environmental science; Chemistry; Horticulture; Pulp and paper industry; Soil science; Biology; Ecology; Soil water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007730602,0.0000663513,0.00009556314,0.0002672645,0.0001329634,0.0001030111,0.0001572645,0.00002472529,0.00000835009],"category_scores_gemma":[0.0005744894,0.00005036596,0.00001071165,0.0005314225,0.00009406801,0.0007703094,0.000008548629,0.0001794294,0.00000259802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008194665,"about_ca_system_score_gemma":0.0002149132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001374532,"about_ca_topic_score_gemma":0.3921252,"domain_scores_codex":[0.9992524,0.00002442796,0.0001711958,0.00009463675,0.0001482495,0.0003090628],"domain_scores_gemma":[0.9992253,0.0001241586,0.00003673527,0.00005740123,0.00007689611,0.0004795763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00000565163,0.00001077933,0.02969381,0.00001509162,0.0000114146,0.0001106667,0.01012503,0.01258834,0.9148257,0.001199184,0.00006425941,0.03135006],"study_design_scores_gemma":[0.0007163594,0.00009258557,0.7554967,0.0001818402,0.00002265779,0.0001122878,0.00352802,0.006284339,0.2323226,0.0007091668,0.000212328,0.0003210781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967154,0.0001105179,0.002325169,0.0003049325,0.0004085413,0.00005011091,0.000002545354,0.000006107975,0.00007672338],"genre_scores_gemma":[0.9920486,0.00001072166,0.007785669,0.00008945017,0.00005375397,0.00000413676,4.692739e-7,0.000004637097,0.000002591796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7258029,"threshold_uncertainty_score":0.618967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186141455293045,"score_gpt":0.254896806016878,"score_spread":0.2130353914639475,"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."}}