{"id":"W2075979030","doi":"10.1016/j.jtbi.2006.12.026","title":"Lorentzian model of roots for understory yellow birch and sugar maple saplings","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Maple; Understory; Yellow birch; Canopy; Sugar; Biomass (ecology); Aceraceae; Botany; Horticulture; Mathematics; Biology; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.002184943,0.0007815184,0.001570811,0.00111154,0.001164321,0.001609861,0.004430218,0.002711942,0.00640393],"category_scores_gemma":[0.00639865,0.0007233691,0.001390065,0.0009028732,0.002178784,0.004214509,0.001229513,0.002285076,0.001266166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549535,"about_ca_system_score_gemma":0.001730368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493773,"about_ca_topic_score_gemma":0.01269978,"domain_scores_codex":[0.9995683,0.0001378705,0.00001537458,0.00007487468,0.00007759458,0.0001259839],"domain_scores_gemma":[0.9971118,0.001320214,0.0002236185,0.0002852744,0.0005008858,0.0005581772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001121582,0.00006954315,0.001600083,0.00006300226,0.00004550381,0.0002653464,0.0002387995,0.3563218,0.001510354,0.6329194,0.002817955,0.004036003],"study_design_scores_gemma":[0.00001852137,0.00001128292,0.0004859605,0.000003925691,0.00001137001,0.00004484984,0.00004533638,0.90074,0.00009519399,0.09826393,0.000257999,0.00002148849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4324065,0.0009272806,0.5233923,0.003106237,0.0002735885,0.0001078569,0.000708152,0.0006620163,0.038416],"genre_scores_gemma":[0.9348267,0.0005257239,0.01585135,0.0003881775,0.0001968162,0.0001133933,0.0003491801,0.0002815036,0.04746734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01493773,"threshold_uncertainty_score":0.02970159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007806823221416685,"score_gpt":0.2255410670534294,"score_spread":0.2177342438320127,"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."}}