{"id":"W2328100112","doi":"10.5558/tfc2013-065","title":"Lessons learned from 12 years of ecological research on partial cuts in black spruce forests of northwestern Québec","year":2013,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Ecological succession; Biodiversity; Basal area; Geography; Black spruce; Ecology; Forestry; Assertion; Logging; Agroforestry; Environmental science; Taiga; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003138962,0.0000905079,0.0002010774,0.00001614487,0.0001393551,0.00001213265,0.0004572532,0.0001328706,0.0005968123],"category_scores_gemma":[0.00008388217,0.00003506408,0.00007658025,0.0002012566,0.0008172594,0.00006768453,0.0002789891,0.0002573194,0.00025332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000570801,"about_ca_system_score_gemma":0.00003815652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09646965,"about_ca_topic_score_gemma":0.4220208,"domain_scores_codex":[0.9988301,0.000172984,0.0002069558,0.0002274361,0.0002207183,0.0003417404],"domain_scores_gemma":[0.9988803,0.0008193324,0.0000868572,0.0001129688,0.00005459865,0.00004595657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001442536,0.0003504807,0.9864309,0.000006184221,0.00002816399,0.000007445812,0.0005297603,0.0001939152,0.003194101,0.0003918585,0.001490391,0.007232558],"study_design_scores_gemma":[0.0002655143,0.000673441,0.9934534,0.00001861283,0.000005886573,3.691779e-7,0.0007429991,0.000109044,0.001428313,0.002579914,0.0006540288,0.00006844728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942226,0.00006512368,6.655904e-8,0.005066832,0.00003957326,0.0002458281,0.00004853376,0.00001251316,0.0002989599],"genre_scores_gemma":[0.9996342,0.00005258064,0.00000462969,0.00005821535,0.00006766614,0.00001349366,0.00001423231,7.508863e-7,0.0001542368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3255511,"threshold_uncertainty_score":0.909547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056170633704469,"score_gpt":0.3012669519394993,"score_spread":0.1956498885690524,"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."}}