{"id":"W2618234952","doi":"10.1016/j.hal.2017.05.008","title":"Cryptic diversity within the harmful dinoflagellate Akashiwo sanguinea in coastal Chinese waters is related to differentiated ecological niches","year":2017,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Dinoflagellate; Ecological niche; Ecology; Heterosigma akashiwo; Niche; Biology; Diversity (politics); Red tide; Algal bloom; Phytoplankton; Habitat","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":[0.0001650404,0.0003176193,0.0003895478,0.001659697,0.0009217502,0.0005442955,0.0002532578,0.0002520646,0.0006997088],"category_scores_gemma":[0.000252242,0.0002450476,0.0002550777,0.001216736,0.0007373415,0.0004459656,0.00102885,0.0001790394,0.00008863387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799977,"about_ca_system_score_gemma":0.0005006906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597348,"about_ca_topic_score_gemma":0.03672606,"domain_scores_codex":[0.9997844,0.00001767007,0.00002533109,0.00007668872,0.00003797899,0.00005782975],"domain_scores_gemma":[0.9997538,0.00002240666,0.00007035246,0.0000141392,0.00006173464,0.00007760535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002498251,0.00002539015,0.9176487,0.00005408244,0.00007236167,0.0002050909,0.002150488,0.00009474011,0.07485237,0.0001167546,0.00002780561,0.004502269],"study_design_scores_gemma":[0.000003035422,0.00004816593,0.9973858,0.000003345802,0.00002785661,0.0001159099,0.001380694,0.0001256083,0.000696394,0.00006342043,0.0001425249,0.00000725465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997788,0.00004118266,0.00003169335,0.000003697994,7.294299e-7,9.330067e-7,0.00001785055,7.648488e-7,0.0001242862],"genre_scores_gemma":[0.9996612,0.00004475415,0.00005693116,0.000006771547,0.000001327843,0.000002472357,0.00006250857,8.212571e-7,0.0001633017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01597348,"threshold_uncertainty_score":0.03176099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860409742633768,"score_gpt":0.2760837018629097,"score_spread":0.257479604436572,"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."}}