{"id":"W7067930153","doi":"","title":"Shirley Backstrom","year":2019,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Friendship; Raising (metalworking); Work (physics); Period (music)","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":[0.001144969,0.000529748,0.0004187332,0.001224193,0.001770385,0.00355179,0.0007716034,0.001485258,0.1946509],"category_scores_gemma":[0.004740313,0.0002458509,0.0002151791,0.0004816426,0.0005799831,0.001868052,0.001768315,0.002501524,0.108935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009518294,"about_ca_system_score_gemma":0.002957367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791943,"about_ca_topic_score_gemma":0.007117172,"domain_scores_codex":[0.9990915,0.0001408533,0.00004362077,0.0001892163,0.0004381202,0.00009671638],"domain_scores_gemma":[0.9974771,0.0003657412,0.00009053092,0.00007574681,0.000887242,0.001103658],"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":[0.00001077914,0.00001461574,0.0001559668,0.00004159105,0.000001156781,0.00009385766,0.00006256038,0.00002001534,0.0000620949,0.0037986,0.9382278,0.05751094],"study_design_scores_gemma":[0.00000205985,0.000004772015,0.0001112098,0.00008782159,0.000001107972,0.0002956588,0.000104577,0.00001420555,0.0000589721,0.0009975786,0.9983183,0.000003764783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002235378,0.05520245,0.003472982,0.1801707,0.06179639,0.00008771686,0.00106408,0.0008791932,0.6950911],"genre_scores_gemma":[0.007763192,0.02106149,0.001442779,0.01799458,0.002546214,0.00003197733,0.0002985706,0.0003345748,0.9485267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1946509,"threshold_uncertainty_score":0.651172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004710042668569992,"score_gpt":0.2029754858379242,"score_spread":0.1982654431693542,"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."}}