{"id":"W4387600598","doi":"10.1016/j.tibs.2023.08.011","title":"Using graphs and charts in scientific figures","year":2023,"lang":"en","type":"article","venue":"Trends in Biochemical Sciences","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Michael Smith Health Research BC; University of British Columbia","funders":"","keywords":"Computer science; Data science; Information retrieval","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"],"consensus_categories":[],"category_scores_codex":[0.003743388,0.002704194,0.001540821,0.009964721,0.001904003,0.01176022,0.002614041,0.002238677,0.04395414],"category_scores_gemma":[0.03647952,0.001371162,0.001877442,0.01167279,0.003960082,0.01588243,0.003255785,0.003611182,0.01507421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918235,"about_ca_system_score_gemma":0.002056199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113043,"about_ca_topic_score_gemma":0.002207418,"domain_scores_codex":[0.9965384,0.001992879,0.0003437809,0.0004157453,0.0005783353,0.0001309498],"domain_scores_gemma":[0.9802225,0.01262087,0.001342525,0.002880527,0.002384825,0.0005487493],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009996662,0.00002784553,0.0003171458,0.0009072162,0.00006348475,0.0002335775,0.000465458,0.01252308,0.0009396281,0.8439819,0.06199594,0.07844467],"study_design_scores_gemma":[0.00004001829,0.0000183707,0.0001134342,0.0003240207,0.00005888842,0.0001027859,0.0001435479,0.02179333,0.001597343,0.7221323,0.2536181,0.0000579557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002269129,0.003925513,0.9402171,0.00294161,0.005586029,0.0001581205,0.002673344,0.01506951,0.0271596],"genre_scores_gemma":[0.06800226,0.009030559,0.8940635,0.001456773,0.002210532,0.0007911106,0.003444816,0.004737289,0.01626315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9962566,"threshold_uncertainty_score":0.1470412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07328464770416913,"score_gpt":0.3316865429927945,"score_spread":0.2584018952886253,"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."}}