{"id":"W4390888571","doi":"10.17504/protocols.io.5qpvo3wodv4o/v1","title":"Protocol for Systematic Analysis Data Elements v1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interoperability; Computer science; Harmonization; Standardization; Protocol (science); Credibility; Data quality; Best practice; Data science; World Wide Web; Engineering; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.1732795,0.003957852,0.005997745,0.02065006,0.006349761,0.01207774,0.005903981,0.008680863,0.3846772],"category_scores_gemma":[0.3076425,0.007074319,0.00578793,0.01767644,0.007791765,0.00704392,0.01211643,0.01446845,0.1282504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009845565,"about_ca_system_score_gemma":0.08037208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005884532,"about_ca_topic_score_gemma":0.006426303,"domain_scores_codex":[0.8421648,0.0789077,0.04847807,0.01057764,0.01528734,0.004584386],"domain_scores_gemma":[0.584251,0.2032048,0.01638229,0.1136003,0.0755925,0.006969017],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002964681,0.0003853041,0.001355191,0.05602036,0.0006176011,0.0007742538,0.007048045,0.001399087,0.003381305,0.0753077,0.7444064,0.1063401],"study_design_scores_gemma":[0.002739508,0.0001940612,0.001567116,0.02098057,0.000204328,0.0001980887,0.001826425,0.001050108,0.002286047,0.05411281,0.9145115,0.0003294554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001184409,0.0009339707,0.1354967,0.006190579,0.004383141,0.5127892,0.3008032,0.009372721,0.02884598],"genre_scores_gemma":[0.001814858,0.0003503068,0.09226735,0.001433541,0.0001975341,0.8718555,0.02352766,0.001036525,0.007516752],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8267205,"threshold_uncertainty_score":0.9164007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.187494552317556,"score_gpt":0.4458937561904043,"score_spread":0.2583992038728482,"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."}}