{"id":"W2945249068","doi":"10.1016/j.hal.2019.05.003","title":"Cryptic speciation in Protoceratium reticulatum (Dinophyceae): Evidence from morphological, molecular and ecophysiological data","year":2019,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Dinophyceae; Genetic algorithm; Biology; Species complex; Evolutionary biology; Ecology; Phylogenetic tree; Gene; Genetics; Phytoplankton","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"category_scores_codex":[0.0004197439,0.0001461143,0.0001980253,0.00002666365,0.00004227514,0.00005645631,0.0003318142,0.00009817671,0.01301295],"category_scores_gemma":[0.0002255047,0.0001154903,0.00002604707,0.0001851571,0.00009075808,0.0003119472,0.0007929394,0.0002069412,0.000866298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006144595,"about_ca_system_score_gemma":0.000006637317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004610865,"about_ca_topic_score_gemma":0.00002074279,"domain_scores_codex":[0.9984402,0.0002101105,0.0002424897,0.0006975344,0.0001976957,0.0002119401],"domain_scores_gemma":[0.9990547,0.0001344343,0.00007971746,0.0006423186,0.000006254148,0.00008262527],"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":[0.000163079,0.0001260339,0.1925378,0.00001754458,0.00000843842,0.0000803664,0.00007297563,0.001535171,0.7925975,0.00006435945,0.0008790981,0.01191766],"study_design_scores_gemma":[0.0004507601,0.0002298483,0.94143,0.00003225729,0.000009439031,0.000007367631,0.00001711847,0.04533547,0.00777367,0.002519359,0.001929349,0.0002653078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949902,0.00004198753,0.0009987068,0.0001885338,0.000103864,0.000883814,0.000006358857,0.00003462753,0.002751864],"genre_scores_gemma":[0.9791164,0.00003418785,0.02012321,0.0003250432,0.0000474407,0.0000602853,0.00002077436,0.000009013964,0.0002635964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7848238,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659651682412086,"score_gpt":0.2877701555251331,"score_spread":0.2511736387010122,"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."}}