{"id":"W4299624513","doi":"","title":"Modelling of architectural development of black spruce (Picea mariana Britton., Stern & Poggenb.) regarding climate","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal","funders":"","keywords":"Black spruce; Stern; Environmental science; Computer science; Geology; Forestry; Geography; Oceanography; Taiga","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002212746,0.0005652851,0.000284839,0.0003087663,0.000418851,0.0006922811,0.0006376505,0.0008201129,0.001309455],"category_scores_gemma":[0.0005861695,0.0003097682,0.0004615561,0.0002473123,0.0004070644,0.0001957869,0.0002715256,0.0003569569,0.0001235304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540975,"about_ca_system_score_gemma":0.001270687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.286786,"about_ca_topic_score_gemma":0.2645346,"domain_scores_codex":[0.9999332,0.00001589974,0.00000217419,0.00001883548,0.00001044845,0.00001941217],"domain_scores_gemma":[0.9997142,0.0001525988,0.00003077197,0.00001337545,0.00004466088,0.00004432631],"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":[0.00001476774,0.0000114803,0.003271346,0.000008872241,0.000008247406,0.00002569389,0.00001544242,0.9947273,0.001067666,0.0001480169,0.00007174952,0.0006293668],"study_design_scores_gemma":[0.000005030073,0.00001127768,0.003396361,0.000002691524,0.000005427159,0.000006560165,0.00001635926,0.9961577,0.00018029,0.00007314378,0.0001412187,0.000003939206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892965,0.0001165269,0.006029491,0.00009716986,0.00001010616,0.00002537532,0.0005116711,0.0001133034,0.003799842],"genre_scores_gemma":[0.9955522,0.00006430355,0.002399518,0.00001362373,0.000002732323,0.00002184786,0.0002883199,0.00002278103,0.001634533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.286786,"threshold_uncertainty_score":0.5702335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682304667014333,"score_gpt":0.2258544738210864,"score_spread":0.199031427150943,"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."}}