{"id":"W1581599221","doi":"","title":"Types and attributes of old-growth forest in Alberta, Canada","year":2001,"lang":"en","type":"article","venue":"Natural Areas Journal","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Old-growth forest; Forestry; Agroforestry; Environmental 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":[0.0001065225,0.0000585987,0.00008568933,0.00002419077,0.00005942759,0.000007517724,0.0001011303,0.00002825527,0.0004932864],"category_scores_gemma":[0.00008805279,0.0000443259,0.00001479888,0.00009762205,0.00006224064,0.0001131104,0.00006939851,0.0001644663,0.00000800626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180234,"about_ca_system_score_gemma":0.00001824632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4135149,"about_ca_topic_score_gemma":0.9637018,"domain_scores_codex":[0.9994877,0.00001897616,0.0001260586,0.00007992231,0.0001263658,0.0001609722],"domain_scores_gemma":[0.9997869,0.00004871039,0.00005566045,0.00004230721,0.00000989097,0.00005660147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002193772,0.0000165184,0.9911517,0.000002395323,0.000007844454,0.00005967337,0.00003230541,0.0002596103,0.00002117312,0.001105229,0.006528805,0.0007928252],"study_design_scores_gemma":[0.0002510503,0.00002872425,0.991554,0.000009143328,0.000005585387,0.0001393312,0.00002491987,0.0002486804,0.00003990694,0.004056033,0.003586505,0.00005607515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947563,0.0001362495,0.000005531051,0.002012759,0.0001521868,0.00004482299,7.486576e-7,0.000001551913,0.002889868],"genre_scores_gemma":[0.9980559,0.00008711383,0.00007534873,0.0003655218,0.00001924058,9.174288e-7,0.000001334567,0.000002530821,0.001392044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5501869,"threshold_uncertainty_score":0.5903906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003823877655677483,"score_gpt":0.1848127726828703,"score_spread":0.1809888950271928,"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."}}