{"id":"W1967199546","doi":"10.1016/j.biocon.2004.04.003","title":"Canada's boreal forest","year":2004,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Taiga; Boreal; Geography; Forestry; Ecology; Agroforestry; Environmental science; Biology; Archaeology","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":[0.00007784827,0.00004955279,0.00004646628,0.000004543694,0.00007218937,0.000004321946,0.00008405572,0.00004659802,0.0003748726],"category_scores_gemma":[0.00005254817,0.00003648501,0.00001192428,0.00006595171,0.00008951006,0.0000375373,0.00006563804,0.00003906478,0.0001239794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722999,"about_ca_system_score_gemma":0.00003282934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6659907,"about_ca_topic_score_gemma":0.9426267,"domain_scores_codex":[0.9995877,0.00001509749,0.00008077035,0.0001263445,0.0000650957,0.0001250309],"domain_scores_gemma":[0.999845,0.00001949827,0.00002631305,0.00007134207,0.000003041451,0.00003475175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001592662,0.00003460424,0.8764974,9.874157e-7,0.000003637926,0.00001420549,0.000006685982,0.0007380731,0.000147147,0.09855828,0.02322464,0.0007583534],"study_design_scores_gemma":[0.0001399858,0.00005160375,0.9050151,7.798936e-7,0.000001399107,0.000001112895,0.000005137122,0.00004044715,0.00005181687,0.01930184,0.07534058,0.00005016862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971174,0.000004162348,0.001089282,0.00644768,0.000082841,0.0001193899,0.000002166801,0.00002833051,0.02105212],"genre_scores_gemma":[0.9930199,0.000004286606,0.0004638488,0.00626453,0.00001313558,0.00001538276,0.00002900176,0.000001508187,0.0001883777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.276636,"threshold_uncertainty_score":0.4104593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816602981088519,"score_gpt":0.2046186915527641,"score_spread":0.1864526617418789,"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."}}