{"id":"W1577203401","doi":"10.23860/diss-popolizio-thea-2015","title":"INTEGRATING MOLECULAR AND TRADITIONAL SYSTEMATIC TECHNIQUES TO REDEFINE RED ALGAL (RHODOPHYTE) DIVERSITY IN THE BERMUDA ISLANDS","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; U.S. Department of Agriculture; Natural Sciences and Engineering Research Council of Canada; Division of Ocean Sciences; National Oceanic and Atmospheric Administration; New Brunswick Innovation Foundation; Ontario Genomics Institute; Ontario Genomics; Genome Canada; Dana Foundation; Division of Environmental Biology; National Science Foundation","keywords":"Biodiversity; Biology; Taxonomy (biology); Genetic diversity; Flora (microbiology); Algae; Geography; Phylogenetic tree; Ecology; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270289,0.0003877675,0.0003190749,0.003476524,0.0006122362,0.001258152,0.0003679051,0.0002924379,0.0004961603],"category_scores_gemma":[0.001599785,0.0001932511,0.0003068337,0.002036227,0.0004016924,0.0009200475,0.0008669573,0.0005354944,0.0002111521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008311527,"about_ca_system_score_gemma":0.0008503327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128976,"about_ca_topic_score_gemma":0.04068792,"domain_scores_codex":[0.9994804,0.0001103667,0.00004765464,0.0001684409,0.0001370492,0.00005607239],"domain_scores_gemma":[0.9990891,0.0001790537,0.0003089158,0.00007287441,0.0002823719,0.00006757493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079354,0.00006603724,0.5549832,0.0009329398,0.0002173063,0.0005652018,0.01075891,0.0008432665,0.115142,0.000827075,0.0006047023,0.3149514],"study_design_scores_gemma":[0.000002728646,0.00007816465,0.9820478,0.0001863649,0.00009454875,0.0002214879,0.004009714,0.0008778793,0.003499731,0.0002336249,0.008727315,0.00002067684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797696,0.007697754,0.006391498,0.0002561421,0.00003843658,0.00007831662,0.0005422829,0.0000591695,0.0051668],"genre_scores_gemma":[0.920463,0.008515659,0.06620276,0.0002501419,0.00005710631,0.0001293974,0.001004556,0.00003348579,0.003343939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128976,"threshold_uncertainty_score":0.02564508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584330450910065,"score_gpt":0.2258498043279984,"score_spread":0.2000064998188978,"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."}}