{"id":"W1997360985","doi":"10.5558/tfc79559-3","title":"Old-growth forests in the temperate deciduous zone of Quebec: Identification and evaluation for conservation and research purposes","year":2003,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Espace pour la vie; Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Deciduous; Tsuga; Forestry; Geography; Old-growth forest; Maple; Temperate rainforest; Yellow birch; Thuja; Agroforestry; Ecology; Biology; Ecosystem","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":[0.00218202,0.00005339541,0.00007302508,0.0000120999,0.000458146,0.00003937143,0.0001214995,0.00005337417,0.00001037744],"category_scores_gemma":[0.0004107316,0.00001812361,0.00001680898,0.0002029566,0.0003418156,0.0001032755,0.00003429265,0.00007253617,0.000001692637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002684646,"about_ca_system_score_gemma":0.00002039964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535651,"about_ca_topic_score_gemma":0.06120494,"domain_scores_codex":[0.9991577,0.0002666957,0.0001274724,0.0001360651,0.0001642284,0.0001478628],"domain_scores_gemma":[0.9990646,0.0006128429,0.00005574079,0.00004912,0.0002047242,0.00001298737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001271613,0.0001328903,0.9484435,0.00004421615,0.00002531016,6.313939e-7,0.001609537,0.00001850191,0.01530278,0.02364079,0.002735678,0.007918956],"study_design_scores_gemma":[0.0002904951,0.000179787,0.9829167,0.000009046525,0.00001391198,0.000003603015,0.001915347,0.0003362588,0.002492527,0.01144733,0.0003543874,0.00004059215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940218,0.0005776585,0.000002063938,0.004654408,0.00002438659,0.0006661867,0.000013456,0.000004600898,0.00003540754],"genre_scores_gemma":[0.9995995,0.0001057936,0.0000126945,0.0000913535,0.00002073477,0.00006676868,0.00001780288,3.753689e-7,0.0000849549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05866928,"threshold_uncertainty_score":0.9559256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06655871000646398,"score_gpt":0.3011588068796411,"score_spread":0.2346000968731771,"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."}}