{"id":"W7069194611","doi":"","title":"English Report","year":2003,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Painting; Subject (documents); Irish; Event (particle physics); SAINT; The Imaginary","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":[0.001007772,0.0006448332,0.0005881755,0.001993656,0.002198093,0.003672783,0.001707254,0.001690077,0.6987154],"category_scores_gemma":[0.005788393,0.0002962716,0.0005216062,0.001974121,0.0006434314,0.002731094,0.00198787,0.001790898,0.5374382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657416,"about_ca_system_score_gemma":0.003382245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008814803,"about_ca_topic_score_gemma":0.01084345,"domain_scores_codex":[0.9989409,0.0001230323,0.0001143931,0.0001700403,0.0005006397,0.000151042],"domain_scores_gemma":[0.9972565,0.0002937034,0.0001234443,0.0003219222,0.001678334,0.000326144],"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":[0.00001731537,0.00001303685,0.0001002634,0.0001314729,0.000001908275,0.0001151699,0.00007626177,0.00001516448,0.00008459872,0.004919269,0.9635495,0.03097597],"study_design_scores_gemma":[0.000002098041,0.00000276052,0.0001389518,0.00006425375,8.690862e-7,0.00007001696,0.00005676997,0.000004507335,0.00002444735,0.0003367068,0.9992969,0.000001707505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005582147,0.005152807,0.0009749695,0.01604481,0.02722315,0.0002306264,0.01031715,0.0005072337,0.938991],"genre_scores_gemma":[0.002929866,0.002862252,0.0005620194,0.003871646,0.002332749,0.0001020767,0.005287115,0.0002830194,0.9817693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6987154,"threshold_uncertainty_score":0.4297459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002531950639959423,"score_gpt":0.1633421761676744,"score_spread":0.1608102255277149,"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."}}