{"id":"W7068754931","doi":"","title":"","year":2022,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; Associated Medical Services; Canada Council for the Arts; Alberta Health Services; Government of Alberta; Cumming School of Medicine, University of Calgary; University of Calgary; Government of Canada","keywords":"Outreach; Excellence; Context (archaeology); Health care; Indigenous; Community health","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0006151499,0.000612446,0.0003354465,0.0007913102,0.008259039,0.007774402,0.0007609621,0.001711195,0.1254458],"category_scores_gemma":[0.00132844,0.0003198918,0.000213983,0.001489954,0.003225452,0.001917404,0.002797518,0.002849426,0.0336182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0162616,"about_ca_system_score_gemma":0.01428612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3335755,"about_ca_topic_score_gemma":0.6229625,"domain_scores_codex":[0.9993324,0.00007585614,0.00001545468,0.0001292359,0.0002874775,0.0001595648],"domain_scores_gemma":[0.9991205,0.0000716447,0.00002411424,0.00006250141,0.0003243129,0.0003969668],"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":[0.00001430769,0.00001147556,0.0003942317,0.00005208797,0.000001526277,0.0001486179,0.001563302,0.00005158472,0.0001315045,0.03927004,0.8863388,0.07202253],"study_design_scores_gemma":[7.536082e-7,0.000001748262,0.000356993,0.00002976356,4.006656e-7,0.00002819167,0.0004991289,0.00001110203,0.00002981729,0.0007187693,0.9983214,0.000001904889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001900186,0.01141824,0.0007221885,0.02143875,0.005192557,0.00003363171,0.0002808356,0.0002522205,0.9587613],"genre_scores_gemma":[0.004544111,0.002004533,0.0004298958,0.001819089,0.0001341118,0.00001074993,0.00006945524,0.00006647252,0.9909217],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3335755,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003422780071147265,"score_gpt":0.2323740084629772,"score_spread":0.2289512283918299,"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."}}