{"id":"W7095259278","doi":"","title":"Testing forest vegetation management options in British Columbia","year":2012,"lang":"en","type":"article","venue":"","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Forest management; Crown (dentistry); Land management; Forest ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733506,0.000543523,0.0003430656,0.0007055256,0.003265504,0.002143468,0.001763643,0.0008302147,0.00746147],"category_scores_gemma":[0.007357762,0.0003225066,0.0002326107,0.001090952,0.0008179569,0.0009491023,0.0007996933,0.001172165,0.0006830879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02483878,"about_ca_system_score_gemma":0.01662269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541975,"about_ca_topic_score_gemma":0.9890146,"domain_scores_codex":[0.9983381,0.0005063958,0.00006124657,0.0001679939,0.0004483492,0.0004778373],"domain_scores_gemma":[0.9945248,0.001726654,0.0003000745,0.0002178008,0.001926366,0.00130436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01311218,0.01703516,0.5198875,0.0009304952,0.0005597387,0.002028069,0.008655351,0.02060311,0.009035995,0.005440279,0.06516206,0.33755],"study_design_scores_gemma":[0.001778093,0.008022883,0.8493171,0.0005934955,0.0005016935,0.0001939628,0.04294519,0.01991628,0.003733221,0.001815117,0.07085443,0.0003284885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691142,0.0002942638,0.0001313248,0.0007392136,0.00002631592,0.0003651658,0.0007497047,0.0000312374,0.02854859],"genre_scores_gemma":[0.9845557,0.0004186582,0.0009483098,0.0005597027,0.000007460044,0.0003739528,0.0008476265,0.00001543381,0.0122732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04580247,"threshold_uncertainty_score":0.1802188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912863632486718,"score_gpt":0.2154768323703721,"score_spread":0.1963481960455049,"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."}}