{"id":"W3196146201","doi":"10.15376/biores.16.4.6684-6704","title":"Effects of temperature and moisture content of logs on size distribution of black spruce chips produced by a chipper-canter at two cutting widths","year":2021,"lang":"en","type":"article","venue":"BioResources","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chip; Materials science; Knot (papermaking); Moisture; Water content; Analytical Chemistry (journal); Air temperature; Composite material; Mathematics; Animal science; Chromatography; Biology; Chemistry; Electrical engineering; Physics; Atmospheric sciences; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102426,0.0004299683,0.0002607077,0.000299338,0.0001231394,0.0003385842,0.0001838871,0.0001772303,0.0008765465],"category_scores_gemma":[0.0004138983,0.0002457898,0.0003037335,0.0001791895,0.0002595742,0.0002075921,0.0002122085,0.0003888204,0.0001546324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213533,"about_ca_system_score_gemma":0.0001175959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330769,"about_ca_topic_score_gemma":0.003080281,"domain_scores_codex":[0.9997838,0.0000312959,0.00001982162,0.00008121179,0.00004244176,0.00004147101],"domain_scores_gemma":[0.9991785,0.0002724931,0.0002080644,0.00006019346,0.0001081305,0.0001725508],"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":[0.003378721,0.0002772408,0.01662393,0.00003261955,0.00003360488,0.00005528911,0.0001169402,0.000314119,0.9758928,0.00001359989,0.00001860816,0.003242368],"study_design_scores_gemma":[0.0000273094,0.004355728,0.6142372,0.000005901831,0.00008421535,0.00007775295,0.0001907564,0.001593733,0.3790826,0.00002670837,0.0002952119,0.00002288072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996892,0.00003841789,0.0001421747,0.00000157621,0.000002040309,0.000004294209,0.00004745949,0.000003974211,0.00007093766],"genre_scores_gemma":[0.998569,0.00003668191,0.0005392393,0.00001050793,0.000002496019,0.00001737279,0.0002093582,0.00001015989,0.0006050342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001330769,"threshold_uncertainty_score":0.00293231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005673588511414702,"score_gpt":0.1890310907705152,"score_spread":0.1833575022591005,"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."}}