{"id":"W2032039170","doi":"10.1038/npre.2011.6041.1","title":"Acknowledging contributions to online expert assistance","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002435473,0.0003459082,0.0003582573,0.00009035665,0.0001018358,0.00004592777,0.0006935996,0.002259035,0.00004700211],"category_scores_gemma":[0.001985415,0.0003126993,0.0001916325,0.0001202269,0.0001252008,0.000001766821,0.001193865,0.001450462,0.00002362184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006772814,"about_ca_system_score_gemma":0.0001778676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001770417,"about_ca_topic_score_gemma":0.00007781748,"domain_scores_codex":[0.9982149,0.00004674427,0.0002806643,0.0008335848,0.0001971329,0.0004269749],"domain_scores_gemma":[0.9985749,0.00002776785,0.0001425854,0.0005868492,0.0004341596,0.0002337296],"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":[0.0004223593,0.0004389069,0.001013089,0.0001963071,0.0004936028,0.00001637986,0.001131881,0.00001273698,0.4038439,0.0008785436,0.5242061,0.06734618],"study_design_scores_gemma":[0.0004456514,0.0002161326,0.002541968,0.0004660507,0.00005203537,0.00001222119,0.0001162676,0.00002788455,0.1272426,0.001303558,0.8668302,0.0007453816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787802,0.09286122,0.05207531,0.01712396,0.01806536,0.002191908,0.003443697,0.0009065218,0.02553003],"genre_scores_gemma":[0.9607736,0.0007887965,0.03002105,0.002456114,0.002689235,0.0001311515,0.001006798,0.00005690077,0.002076385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3426241,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851932548750148,"score_gpt":0.3454918715416348,"score_spread":0.3269725460541333,"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."}}