{"id":"W7134690861","doi":"","title":"Quarter 1 Results","year":2020,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); State (computer science); Virginia tech; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009188044,0.001374035,0.0008578369,0.004207697,0.002086402,0.004973241,0.001474382,0.0009183183,0.2643394],"category_scores_gemma":[0.02422107,0.0004869973,0.001679344,0.005208577,0.0003340161,0.001448165,0.002432771,0.001043044,0.1030431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005003766,"about_ca_system_score_gemma":0.00509411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297633,"about_ca_topic_score_gemma":0.0237424,"domain_scores_codex":[0.990162,0.002313387,0.0005198594,0.00089369,0.004229274,0.001881806],"domain_scores_gemma":[0.9873407,0.002046233,0.001146828,0.001388973,0.007254152,0.0008230824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001126249,0.0002417547,0.01920764,0.0006031385,0.00008301067,0.00009648784,0.0006750367,0.0006058638,0.0004282572,0.006113721,0.8974123,0.07340653],"study_design_scores_gemma":[0.0001064658,0.0003869078,0.0732865,0.0004371468,0.0001194802,0.0001704141,0.002368538,0.0005405917,0.001379417,0.002258872,0.9188973,0.00004840336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04119578,0.001469907,0.002958089,0.003987362,0.00201475,0.001458719,0.3781912,0.001833564,0.5668906],"genre_scores_gemma":[0.1336825,0.001725091,0.00652909,0.00446658,0.0006723608,0.003734791,0.3418197,0.002392282,0.5049776],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7356606,"threshold_uncertainty_score":0.8843035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114593214340295,"score_gpt":0.2194073620203497,"score_spread":0.2082614298769467,"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."}}