{"id":"W2018878093","doi":"10.1139/x03-207","title":"A longitudinal height–diameter model for Norway spruce in Finland","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basal area; Growth curve (statistics); Picea abies; Mathematics; Canopy; Growth model; Stand development; Karst; Statistics; Site index; Tree (set theory); Forestry; Geography; Ecology; Biology; Combinatorics","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":[0.001635622,0.0008836249,0.0006865619,0.0008897934,0.0007869566,0.001419125,0.003112522,0.002218727,0.008452226],"category_scores_gemma":[0.001736367,0.0009426977,0.001543127,0.00103599,0.0005327922,0.001272637,0.0007446525,0.00118265,0.002889517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787494,"about_ca_system_score_gemma":0.002102057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07240877,"about_ca_topic_score_gemma":0.06771169,"domain_scores_codex":[0.999523,0.00008422245,0.00003211504,0.0002095558,0.00006107729,0.00008992194],"domain_scores_gemma":[0.9994091,0.0002620406,0.0001020132,0.00003899874,0.0001319765,0.00005591983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008638925,0.00007992778,0.01627342,0.00008965457,0.00006295714,0.0003009656,0.0001568945,0.9633689,0.001687305,0.00518337,0.001762534,0.01094771],"study_design_scores_gemma":[0.00003081197,0.0000691691,0.0100628,0.00002393742,0.00004238169,0.0001517243,0.00005379241,0.9817984,0.0001898304,0.002967475,0.004561383,0.00004832384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5946894,0.001570208,0.3537864,0.001022556,0.0003426445,0.0004068215,0.02311838,0.001850799,0.02321273],"genre_scores_gemma":[0.926177,0.0005321831,0.02992319,0.000146613,0.00007878447,0.0006144223,0.008597379,0.0002148088,0.03371552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07240877,"threshold_uncertainty_score":0.1439746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117859413494836,"score_gpt":0.3016406850134747,"score_spread":0.2504620908785264,"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."}}