{"id":"W7028577545","doi":"","title":"First results of the macroalgal diversity in Terra Nova Bay (Ross Sea, Antarctica), using DNA barcoding","year":2020,"lang":"en","type":"article","venue":"Institutional Research Information System University of Ferrara (University of Ferrara)","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA barcoding; Bay; Biodiversity; Nova (rocket); Key (lock); Marine biodiversity; Nova scotia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004259398,0.0005316102,0.0002472256,0.002592385,0.001588643,0.0006849889,0.000320783,0.0004572361,0.001422229],"category_scores_gemma":[0.0007050998,0.0001966914,0.0004805493,0.001987108,0.000498571,0.0002783556,0.0006577662,0.0004213608,0.0005920875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006872352,"about_ca_system_score_gemma":0.0007667278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04274236,"about_ca_topic_score_gemma":0.08588598,"domain_scores_codex":[0.9995793,0.00003706716,0.00002831654,0.0000901683,0.0001982141,0.00006698458],"domain_scores_gemma":[0.9991904,0.00008584224,0.0001348141,0.00005732348,0.0003475386,0.0001840147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000545521,0.00009124565,0.7752187,0.000303999,0.0001781615,0.0003170469,0.002572055,0.0002933224,0.1769011,0.0001656623,0.001718721,0.04169458],"study_design_scores_gemma":[0.000003118009,0.00008083919,0.9911005,0.00001338662,0.00002407271,0.0001034224,0.0004861589,0.0000705999,0.005620119,0.00002382241,0.002466744,0.000007303717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785852,0.0008951669,0.000908884,0.0001046231,0.00003573906,0.0000699634,0.01183125,0.00004384787,0.00752523],"genre_scores_gemma":[0.9742768,0.0008100306,0.006414632,0.0002431068,0.00003792478,0.0001502361,0.01188658,0.00003365161,0.006146939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04274236,"threshold_uncertainty_score":0.08498716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2465088052295842,"score_gpt":0.2832097552260954,"score_spread":0.03670094999651127,"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."}}