{"id":"W2107417553","doi":"10.1111/j.1529-8817.2012.01205.x","title":"GENOTYPE‐BY‐TEMPERATURE INTERACTIONS MAY HELP TO MAINTAIN CLONAL DIVERSITY IN <i>ASTERIONELLA FORMOSA</i> (BACILLARIOPHYCEAE)","year":2012,"lang":"en","type":"article","venue":"Journal of Phycology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Biology; Context (archaeology); Genotype; Genetic diversity; Ecology; Population; Diatom; Adaptation (eye); Selection (genetic algorithm); Evolutionary biology; Genetics; Gene; 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":[0.0001853334,0.0002203335,0.0001726053,0.0001196768,0.000277757,0.0004866147,0.000304894,0.0003506363,0.0006486514],"category_scores_gemma":[0.0005493166,0.0001740141,0.0003614537,0.0001049501,0.0002536645,0.0003320558,0.0003652852,0.0001953967,0.00008921967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778776,"about_ca_system_score_gemma":0.0002380705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095068,"about_ca_topic_score_gemma":0.003836793,"domain_scores_codex":[0.9999113,0.0000280422,0.000007596189,0.00002789366,0.000008626052,0.00001649398],"domain_scores_gemma":[0.9997907,0.00008482653,0.00006669937,0.00002300299,0.00001290842,0.00002180712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002821934,0.000148369,0.2268173,0.0001357462,0.0001871454,0.0007849231,0.0005137739,0.08452769,0.6650058,0.003610284,0.0002714022,0.01771532],"study_design_scores_gemma":[0.00006350829,0.000588713,0.6426697,0.00002550051,0.0002703714,0.0009344275,0.000578257,0.3039763,0.04294724,0.005699855,0.002155042,0.00009107924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983851,0.00003611344,0.001258375,0.00002257877,0.000001737588,0.000002265148,0.00001649703,0.00001439516,0.0002629248],"genre_scores_gemma":[0.9993646,0.00001780507,0.0005043566,0.000005401281,8.042794e-7,0.000002492275,0.00001413426,0.000003058253,0.00008748924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002095068,"threshold_uncertainty_score":0.004165709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057362005602702,"score_gpt":0.2393111025882101,"score_spread":0.2287374825321831,"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."}}