{"id":"W2037531547","doi":"10.5558/tfc84307-3","title":"Integrating multi-discipline teams into forest planning: A case study in west-central Alberta","year":2008,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry","funders":"","keywords":"Plan (archaeology); Forest management; Environmental resource management; Computer science; Key (lock); Forestry; Environmental science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567081,0.0003798208,0.0001779929,0.0007237083,0.005919873,0.00184039,0.001569807,0.001348181,0.002494642],"category_scores_gemma":[0.003030378,0.0002953961,0.0002710342,0.002076114,0.001112814,0.0008232123,0.001456451,0.001073307,0.0002051946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01669892,"about_ca_system_score_gemma":0.0176324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7810008,"about_ca_topic_score_gemma":0.9280494,"domain_scores_codex":[0.9986155,0.0005158929,0.00003397954,0.0000884218,0.00025186,0.0004943907],"domain_scores_gemma":[0.9980277,0.0008704042,0.0001134228,0.00009159603,0.0003171114,0.0005798004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001360481,0.00428496,0.2059013,0.000392379,0.0001682339,0.02847776,0.07226194,0.3103953,0.004391927,0.0294283,0.009713942,0.3332235],"study_design_scores_gemma":[0.0004626766,0.002743172,0.1839732,0.0003350952,0.0002108901,0.002228463,0.3932956,0.3186104,0.003865443,0.01202896,0.08203632,0.000209785],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767507,0.0001528582,0.00393843,0.0006304992,0.00001284472,0.0002220251,0.00006707029,0.00004883983,0.01817672],"genre_scores_gemma":[0.988641,0.0001882261,0.004709649,0.00008441169,0.000006502474,0.00004387,0.0000819573,0.00001208331,0.006232339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2189992,"threshold_uncertainty_score":0.4405779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261911065954488,"score_gpt":0.2883933253521086,"score_spread":0.2657742146925637,"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."}}