{"id":"W2534784504","doi":"10.1139/cjfr-2016-0236","title":"Evaluation of stand-level hybrid PipeQual model with permanent sample plot data of Norway spruce","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basal area; Picea abies; Thinning; Crown (dentistry); Forestry; Environmental science; Stand development; Forest management; Mathematics; Statistics; Karst; Site index; Forest inventory; Geography; Ecology; Biology","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":[0.001356326,0.0007206035,0.000540909,0.0003324981,0.0002761421,0.0006168549,0.00150216,0.0008905355,0.000992607],"category_scores_gemma":[0.00216923,0.0004203255,0.0005691615,0.0003211486,0.0003121167,0.0008147986,0.0004424053,0.0005572272,0.0001910325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430979,"about_ca_system_score_gemma":0.0007600373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766437,"about_ca_topic_score_gemma":0.02154589,"domain_scores_codex":[0.9997671,0.00007499235,0.0000216459,0.00006923361,0.00003672273,0.0000302345],"domain_scores_gemma":[0.9987882,0.0008081893,0.00007194494,0.0000931042,0.0001733871,0.00006524737],"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":[0.0001135552,0.00007603885,0.009009374,0.00003021348,0.00004254408,0.00005069194,0.00002878688,0.9852011,0.0007660747,0.0001768661,0.0002245254,0.004280263],"study_design_scores_gemma":[0.00001031034,0.00002075477,0.001017742,0.000002086389,0.000004620286,0.000006409551,0.000007670533,0.9985452,0.0002552662,0.00005662451,0.00006910871,0.000004261362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722196,0.0001165931,0.0233509,0.0001108424,0.00002384235,0.00005750132,0.001615386,0.0012533,0.001252002],"genre_scores_gemma":[0.9860518,0.00004737516,0.01187527,0.00004163944,0.000004257324,0.00005991741,0.001429909,0.00007279791,0.0004170474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02766437,"threshold_uncertainty_score":0.05500668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1932188785989796,"score_gpt":0.3528203834410676,"score_spread":0.159601504842088,"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."}}