{"id":"W3084340010","doi":"10.1139/cjfr-2020-0193","title":"Local testing and calibration of species-specific competition indices in Sierran mixed-conifer forests: application transfer to evolving objectives","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service","keywords":"Competition (biology); Basal area; Intraspecific competition; Reforestation; Ecology; Stand development; Productivity; Crown (dentistry); Afforestation; Biology; Forestry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005538709,0.000642816,0.0003137313,0.001263618,0.0003686007,0.000609569,0.0005903721,0.000274913,0.0004660395],"category_scores_gemma":[0.0117106,0.000196794,0.0002948314,0.0007274161,0.0004659798,0.0005042792,0.0006915211,0.0003916216,0.00008963103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005621168,"about_ca_system_score_gemma":0.0006879432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134291,"about_ca_topic_score_gemma":0.03963393,"domain_scores_codex":[0.9982883,0.0008156176,0.00006539164,0.000519465,0.0002118049,0.00009945536],"domain_scores_gemma":[0.9914414,0.005261293,0.001306807,0.0006599193,0.0008061263,0.0005244556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001140511,0.0001305087,0.9672934,0.00002136602,0.0001076001,0.00003052223,0.0001839192,0.009862181,0.002669127,0.0001124344,0.0000446806,0.01943025],"study_design_scores_gemma":[0.00001825772,0.0005025819,0.885806,0.00001248905,0.00005317595,0.00009498886,0.000413402,0.1105754,0.002050665,0.0003051215,0.0001410693,0.00002696929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964654,0.00003664186,0.00299813,0.000003643691,0.000001164187,0.00001345104,0.00004826723,0.00003155285,0.0004016056],"genre_scores_gemma":[0.996558,0.00001159792,0.003263522,0.000002639285,0.000001327802,0.00001085775,0.0001007194,0.000006189772,0.00004509496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0134291,"threshold_uncertainty_score":0.02929181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673015768927872,"score_gpt":0.2607198675694195,"score_spread":0.2239897098801407,"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."}}