{"id":"W1975990842","doi":"10.1139/x10-169","title":"Trends in growing space efficiency of four boreal forest species based on yield table data","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Black spruce; Intraspecific competition; Yield (engineering); Taiga; Forestry; Competition (biology); Silviculture; Environmental science; Table (database); Horticulture; Botany; Biology; Ecology; Geography; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006374828,0.000289237,0.0001776643,0.002512859,0.0002733516,0.0004750308,0.0002389669,0.0001813845,0.0009467392],"category_scores_gemma":[0.00119134,0.0001074856,0.0002700615,0.001398017,0.0001782764,0.0004550328,0.0002160573,0.000196915,0.0002665879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399527,"about_ca_system_score_gemma":0.0001253577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063772,"about_ca_topic_score_gemma":0.02668453,"domain_scores_codex":[0.9997486,0.00003662664,0.00003243959,0.00007465317,0.0000632129,0.00004452701],"domain_scores_gemma":[0.9981559,0.0003766991,0.0006803981,0.00009579617,0.0004751301,0.0002160627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000929446,0.00001968852,0.9925355,0.00001469368,0.00003699014,0.00003464267,0.0002155833,0.0002806804,0.001887722,0.00005248246,0.0001670646,0.004661996],"study_design_scores_gemma":[6.822077e-7,0.00002868576,0.9992837,0.000001007479,0.000004534559,0.00003499232,0.00008429413,0.0002694263,0.00009504417,0.00000793644,0.0001875892,0.000001975209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965661,0.00008139724,0.0001717433,0.000009192232,0.000002764347,0.000008399064,0.002314628,0.00002789366,0.0008178919],"genre_scores_gemma":[0.9961146,0.00004051894,0.0004863819,0.00000554589,0.000003971858,0.00001799266,0.002927386,0.000005179835,0.0003984625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063772,"threshold_uncertainty_score":0.0211516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06054691707677056,"score_gpt":0.2969289272074637,"score_spread":0.2363820101306932,"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."}}