{"id":"W2467726156","doi":"10.1002/cjce.22550","title":"How do you write and present research well? 14—Favour images over text in graphical abstracts","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frame (networking); Line (geometry); Graph; Presentation (obstetrics); Computer science; Computer graphics (images); Information retrieval; Mathematics; Theoretical computer science; Geometry; Medicine; Surgery; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102386,0.0001448329,0.0001945155,0.0004558776,0.00004402029,0.000271259,0.0009276751,0.000116079,0.000005187622],"category_scores_gemma":[0.0001809872,0.00009298167,0.00006171786,0.0003527256,0.000122833,0.0004237598,0.0001100687,0.0007303754,0.000001440451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180402,"about_ca_system_score_gemma":0.0001758679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003098443,"about_ca_topic_score_gemma":0.00006309353,"domain_scores_codex":[0.9986083,0.000035103,0.0002507188,0.0001916217,0.0004047722,0.0005094899],"domain_scores_gemma":[0.998655,0.000266983,0.00005835438,0.0003513301,0.0001480014,0.0005203193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000571517,0.00009718408,0.007594587,0.0003026881,0.0002313302,0.002698758,0.00225236,0.01395137,0.6285923,0.1656312,0.02128849,0.1573026],"study_design_scores_gemma":[0.00408413,0.0004882331,0.05598146,0.00446336,0.00004648188,0.002591965,0.00002148555,0.06129972,0.5031332,0.02383163,0.3415036,0.002554703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4565552,0.0009439833,0.5258194,0.01621447,0.0001828259,0.000148282,0.000004362505,0.00006762608,0.00006381753],"genre_scores_gemma":[0.982224,0.00002657025,0.01750056,0.00001932612,0.0001544562,0.000004820522,9.811467e-8,0.00001865871,0.00005148797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5256688,"threshold_uncertainty_score":0.3791682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608361625582668,"score_gpt":0.2387398708614179,"score_spread":0.2226562546055912,"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."}}