{"id":"W1666336052","doi":"","title":"The Effects of Alternative Diameter-Limit Cutting Treatments: Some Findings from a Long-Term Northern Conifer Experiment","year":2004,"lang":"en","type":"article","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clearcutting; Cutting; Residual; Limit (mathematics); Selection (genetic algorithm); Silviculture; Forest management; Environmental science; Forestry; Mathematics; Agroforestry; Geography; Botany; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003058717,0.0001518529,0.0001308755,0.00004491568,0.0000593564,0.0000401053,0.0001405217,0.0000306431,0.00003350122],"category_scores_gemma":[0.00001539664,0.000104234,0.00006480159,0.00006757128,0.00004083877,0.0001038097,0.00004900642,0.00003577875,0.00003906745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542556,"about_ca_system_score_gemma":0.000005461383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336512,"about_ca_topic_score_gemma":0.0001904339,"domain_scores_codex":[0.9993173,0.00001193374,0.00019138,0.0001423071,0.000153143,0.0001839387],"domain_scores_gemma":[0.9996162,0.00008577205,0.00003426937,0.0001991553,0.00001877945,0.00004584223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002681253,0.002780192,0.4258103,0.001582596,0.01350111,0.0005369351,0.03617418,0.03703859,0.2584375,0.0929625,0.001243091,0.1296648],"study_design_scores_gemma":[0.003520537,0.0002658944,0.0650338,0.0002413351,0.0001073539,9.829363e-7,0.0003198976,0.001264063,0.9275477,0.001039188,0.0003103591,0.0003488967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903186,0.0006255553,0.0069047,0.00004441575,0.0003990552,0.0003873649,0.0000041402,0.0001371043,0.001179094],"genre_scores_gemma":[0.9989827,0.0002097369,0.0002982264,0.00005237012,0.00003085431,0.00007374268,0.00001453629,0.00002536688,0.0003125143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6691101,"threshold_uncertainty_score":0.425054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007174697812119727,"score_gpt":0.2199801975859504,"score_spread":0.2128054997738306,"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."}}