{"id":"W7047824988","doi":"","title":"Implications of alternative herbicide-use policies for forest management in Ontario","year":2017,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silviculture; Forest management; Production (economics); Wood production; Logging; Resource (disambiguation); Vegetation (pathology); Forest structure; Forest inventory; Resource management (computing)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000596925,0.0002410034,0.0004038595,0.0007292388,0.0002455417,0.0000328006,0.0007100653,0.0001509719,0.00005979919],"category_scores_gemma":[0.00001125093,0.0002904837,0.0001951986,0.000211126,0.00009324108,0.0001980035,0.00008956443,0.000327945,0.00001055231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385445,"about_ca_system_score_gemma":0.0002391944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1099548,"about_ca_topic_score_gemma":0.9892071,"domain_scores_codex":[0.9990962,0.00003174102,0.0002256388,0.0003276016,0.00005267946,0.0002661506],"domain_scores_gemma":[0.9986748,0.0001613654,0.0002592369,0.0006445075,0.0002118194,0.00004825819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002610709,0.0003049424,0.543359,0.00008829816,0.0003160521,0.000002849733,0.003055762,0.0000132724,0.00006388874,0.4449139,0.0003224298,0.00753342],"study_design_scores_gemma":[0.002409892,0.0001347809,0.7276867,0.0007906007,0.0005384304,8.696247e-7,0.01939821,0.00001265167,0.0009460186,0.02249929,0.2248208,0.0007618134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7698367,0.00003359746,0.0001404973,0.00005583032,0.0002475448,0.0004608702,0.0000877824,0.00002966572,0.2291075],"genre_scores_gemma":[0.9310163,9.156338e-7,0.0000710473,4.602078e-7,0.00003688678,0.00002239139,0.0007498835,0.00002455945,0.06807759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8792523,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689334432784417,"score_gpt":0.2916185602369629,"score_spread":0.2447252159091187,"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."}}