{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000543198,0.0001215691,0.0002554193,0.00007413683,0.0001256116,0.00001437709,0.0002337124,0.0001037189,0.00237005],"category_scores_gemma":[0.00003192479,0.0001046755,0.00007980005,0.0001891026,0.00004247064,0.0002753698,0.0003074456,0.0003380052,0.0002220849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001881,"about_ca_system_score_gemma":0.00001888292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491236,"about_ca_topic_score_gemma":0.001157772,"domain_scores_codex":[0.9988626,0.000112118,0.0003698699,0.0001117846,0.0002141828,0.0003294798],"domain_scores_gemma":[0.9993417,0.00008351067,0.0002251493,0.0001105115,0.00001940835,0.0002197639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002451122,0.0003641706,0.8960468,0.00001619468,0.00004592486,0.00005254179,0.00223775,0.001497042,0.05682105,0.0007648416,0.03989602,0.002012589],"study_design_scores_gemma":[0.00169693,0.0009801312,0.659198,0.00007142153,0.00006496797,0.001345265,0.001333034,0.0004633826,0.001462887,0.001060973,0.3317541,0.0005689025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943836,0.00006572635,0.000653039,0.0006329849,0.0009299471,0.0001296071,0.00002415753,0.000003834375,0.003177152],"genre_scores_gemma":[0.9974114,0.00001325492,0.001004011,0.0008001938,0.0001961533,0.000002064209,0.000004161309,0.000008156856,0.0005605562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2918581,"threshold_uncertainty_score":0.9985419,"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."}}