{"id":"W3162809187","doi":"10.5552/crojfe.2021.886","title":"The Effect of Yarding Technique on Yarding Productivity and Cost","year":2021,"lang":"en","type":"article","venue":"Croatian journal of forest engineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Commission","keywords":"Productivity; Deflection (physics); Tree (set theory); Engineering; Terrain; Agricultural engineering; Transport engineering; Mathematics; Geography; Cartography; Economics","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":[0.0005312969,0.0001297303,0.0002104787,0.0001252583,0.00005627719,0.00005297753,0.000104148,0.0000383898,0.00000287965],"category_scores_gemma":[0.0002663929,0.00009637484,0.00007674557,0.0002139722,0.00003015777,0.0001119724,0.00003180197,0.000175133,5.67798e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004966373,"about_ca_system_score_gemma":0.000009851324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.747685e-7,"about_ca_topic_score_gemma":0.000004080437,"domain_scores_codex":[0.9992905,0.00002636332,0.0002812255,0.00007997303,0.0001629672,0.0001590106],"domain_scores_gemma":[0.9995055,0.0001359528,0.00007688256,0.0001558566,0.00006223415,0.00006357696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005609917,0.00002036158,0.01958577,0.001151212,0.0003724517,0.0001194999,0.0002257917,0.8683847,0.07313528,0.005015661,0.0009496294,0.03098358],"study_design_scores_gemma":[0.0012872,0.0005165213,0.0319098,0.001303697,0.0001273263,0.0003842537,0.0001116371,0.04399586,0.8830295,0.0001133748,0.03679821,0.0004225917],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8236784,0.001853152,0.1715556,0.0001301978,0.0009574556,0.0004023774,0.000002834787,0.00009292035,0.001327043],"genre_scores_gemma":[0.9989694,0.0001038176,0.0007760053,0.00000218147,0.0000844988,0.00001064411,8.005096e-7,0.00002573943,0.00002696506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8243888,"threshold_uncertainty_score":0.3930052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004225620056843547,"score_gpt":0.1977151497293136,"score_spread":0.19348952967247,"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."}}