{"id":"W2091537060","doi":"10.1007/s001220100540","title":"Variation on reaction norm in lodgepole pine natural populations","year":2001,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Pinus contorta; Biology; Linear regression; Ecology; Population; Regression; Subspecies; Regression analysis; Natural population growth; Natural selection; Statistics; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001102677,0.0002676218,0.0002815357,0.0006980225,0.0002763678,0.0005043063,0.0003730329,0.0002799699,0.001449942],"category_scores_gemma":[0.004618295,0.0001477874,0.0001387524,0.0004616272,0.0007921846,0.0001914788,0.0003458289,0.0003777758,0.0001271742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514989,"about_ca_system_score_gemma":0.0002339493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005382977,"about_ca_topic_score_gemma":0.009738817,"domain_scores_codex":[0.998576,0.0007662449,0.00004235137,0.0003947511,0.0001465379,0.00007404244],"domain_scores_gemma":[0.9962575,0.002188601,0.0005022922,0.0003244843,0.0002511556,0.0004759684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001807463,0.0003827276,0.886592,0.00004472141,0.0003512479,0.0003101313,0.002992189,0.002289817,0.09047395,0.002051168,0.000338216,0.01236642],"study_design_scores_gemma":[0.00001118402,0.0001101165,0.9974282,0.000002209074,0.00002123829,0.00008040297,0.0002027868,0.0008064672,0.0008582736,0.0003465467,0.0001205598,0.00001194995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999505,0.00001777875,0.0001652563,0.000008276689,0.000001808403,0.000001399665,0.00004725507,0.000002594974,0.0002506174],"genre_scores_gemma":[0.9995695,0.000008803985,0.0001222975,0.000006038387,0.000001924448,0.000003896178,0.0000949771,0.000004020105,0.0001886769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005382977,"threshold_uncertainty_score":0.01070333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006109851308787539,"score_gpt":0.2166070287545205,"score_spread":0.210497177445733,"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."}}