{"id":"W1969775204","doi":"10.1080/07373937.2012.725687","title":"Drying Schedules for Canelo Wood","year":2013,"lang":"en","type":"article","venue":"Drying Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Softwood; Wood drying; Pulp and paper industry; Wood industry; Hardwood; Environmental science; Materials science; Composite material; Botany; Moisture; Forestry; Engineering; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000313149,0.0001365731,0.0001533359,0.0001973149,0.00009313297,0.00003242126,0.0001697151,0.0001746634,0.00005590238],"category_scores_gemma":[0.00003029401,0.0001215057,0.00003854306,0.0001601678,0.00004863061,0.0001025386,0.00003560003,0.0001303804,0.0002026424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004096321,"about_ca_system_score_gemma":0.000008458924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003272793,"about_ca_topic_score_gemma":0.0000153196,"domain_scores_codex":[0.9993743,0.000003337792,0.0001286796,0.000137835,0.00004166271,0.0003141386],"domain_scores_gemma":[0.9996796,0.0000285128,0.00001596387,0.0002164297,0.00003222105,0.00002724011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002226801,0.0001197855,0.02409529,0.0006017729,0.0008393252,0.0000200929,0.0009101323,0.001577642,0.2714786,0.1000117,0.01165726,0.5886661],"study_design_scores_gemma":[0.001946284,0.0003173853,0.0007709683,0.0001672084,0.0001021964,0.0000334134,0.001163997,0.02297061,0.8200349,0.0895561,0.06182821,0.001108681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904301,0.001819353,0.001691219,0.001176941,0.000270637,0.0003864949,0.000004072795,0.002189416,0.002031825],"genre_scores_gemma":[0.9860619,0.00003833687,0.01314715,0.00002604862,0.00004798688,0.0004346455,0.000007196074,0.00003884668,0.0001979288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5875574,"threshold_uncertainty_score":0.4954858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009382162578202683,"score_gpt":0.1867269722080618,"score_spread":0.1773448096298592,"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."}}