{"id":"W2887405830","doi":"10.3390/f9080485","title":"Developing and Field Testing a Tool Designed to Operationalize a Multitreatment Approach in Hardwood-Dominated Stands in Eastern Canada","year":2018,"lang":"en","type":"article","venue":"Forests","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Forest inventory; Operationalization; Computer science; Forest management; Silviculture; Field (mathematics); Thinning; Forestry; Environmental science; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001012233,0.00007064912,0.00007309935,0.00002735377,0.00006773169,0.00002366908,0.00005645691,0.00002444778,0.00001647777],"category_scores_gemma":[0.00008436647,0.00006452738,0.000004421855,0.0002448622,0.00002319858,0.00004363675,0.00005250259,0.00003604023,0.0000113145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301591,"about_ca_system_score_gemma":0.00007269406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2797855,"about_ca_topic_score_gemma":0.8393306,"domain_scores_codex":[0.9993986,0.00002072906,0.0001255105,0.0001967408,0.000108179,0.0001502148],"domain_scores_gemma":[0.9997779,0.00006006173,0.00001714615,0.00009345853,0.000008901629,0.00004253511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003034022,0.00004451851,0.9493101,0.00000654973,0.000004090808,0.00001265545,0.001517321,0.002190556,0.001971875,0.0001080397,0.0003694337,0.04443458],"study_design_scores_gemma":[0.0005046533,0.00006518174,0.9242721,0.00004582069,0.000002105223,0.000008689528,0.00009852761,0.07081372,0.003183454,0.0001054166,0.000750952,0.0001493372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882124,0.000004153233,0.009386362,0.0003225521,0.0000142715,0.0002811833,0.000001606824,0.000007852206,0.001769585],"genre_scores_gemma":[0.9484252,2.894725e-7,0.05116028,0.0002259806,0.00001129292,0.00001493367,0.000003864504,0.000005133034,0.0001530375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.559545,"threshold_uncertainty_score":0.7250105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372763303621048,"score_gpt":0.2540503582867783,"score_spread":0.2303227252505678,"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."}}