{"id":"W2578651226","doi":"10.1080/14942119.2017.1272286","title":"The impact of disc settings and slash characteristics on the Bracke three-row disc trencher’s performance","year":2017,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Slash (logging); Microsite; Quality (philosophy); Agricultural engineering; Fuel efficiency; Softwood; Logging; Environmental science; Work (physics); Engineering; Forestry; Mechanical engineering; Geography; Automotive engineering; Agronomy; Pulp and paper industry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005741743,0.0003989546,0.000338315,0.0003822411,0.0007520449,0.0009692808,0.0006437249,0.0003000437,0.002176969],"category_scores_gemma":[0.001271822,0.000277514,0.0003118306,0.0004727681,0.0005977884,0.0004060374,0.000516323,0.0003846645,0.0004872908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222668,"about_ca_system_score_gemma":0.0005946264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04246681,"about_ca_topic_score_gemma":0.1367457,"domain_scores_codex":[0.9993626,0.00005917583,0.00003982535,0.000153102,0.0002339686,0.0001512747],"domain_scores_gemma":[0.9992785,0.0001752574,0.00009810446,0.00008288125,0.0002404693,0.0001247478],"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":[0.001817205,0.0003642397,0.1036646,0.0003094084,0.00006940766,0.0003311504,0.001133273,0.006847537,0.8337854,0.0001677801,0.0004437845,0.05106626],"study_design_scores_gemma":[0.00003957624,0.003497814,0.7091345,0.00002430857,0.00009434601,0.0002806924,0.001619993,0.005672943,0.2753748,0.00009657619,0.00409112,0.00007337052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984223,0.00005646704,0.0006347237,0.00000739902,0.000003787463,0.00001898582,0.0001005924,0.00002039122,0.0007354559],"genre_scores_gemma":[0.9956461,0.0000534834,0.002634244,0.00002005897,0.000001418266,0.00001210849,0.0002075464,0.0000451649,0.001379941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04246681,"threshold_uncertainty_score":0.08443928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009459782204390423,"score_gpt":0.2378651495834045,"score_spread":0.2284053673790141,"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."}}