{"id":"W2951177806","doi":"10.21307/connections-2017-007","title":"Creating a Conference Poster with High-Resolution Network Figures","year":2018,"lang":"en","type":"article","venue":"Connections","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Graphics; Process (computing); Task (project management); Vector graphics; Resolution (logic); World Wide Web; Computer graphics (images); Multimedia; Artificial intelligence; Programming language; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007292029,0.001048099,0.0004142917,0.001985456,0.002204272,0.005346894,0.001467773,0.001600288,0.1285337],"category_scores_gemma":[0.03248094,0.0006549234,0.001009779,0.0009118062,0.001251547,0.00500463,0.003819055,0.00329714,0.06164149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006864013,"about_ca_system_score_gemma":0.001493749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002662938,"about_ca_topic_score_gemma":0.0003703407,"domain_scores_codex":[0.9968016,0.001199425,0.0001774312,0.0002227156,0.001413872,0.0001849818],"domain_scores_gemma":[0.9806705,0.008641375,0.0007229664,0.002268896,0.006167123,0.001529257],"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":[0.0002321841,0.0001711509,0.0006453501,0.001496288,0.00004450843,0.002391742,0.004437036,0.002281616,0.0331273,0.05927376,0.5262131,0.3696859],"study_design_scores_gemma":[0.00002751933,0.0001147897,0.0005849581,0.00043214,0.00001585791,0.001571922,0.0009588047,0.002088453,0.01615853,0.01340553,0.9645728,0.00006878149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008074403,0.001420482,0.7368653,0.01229452,0.01709083,0.00262723,0.0009908992,0.01538896,0.2052473],"genre_scores_gemma":[0.06070917,0.002278052,0.7568213,0.002690535,0.00364693,0.002050356,0.001112747,0.009930765,0.1607601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9946531,"threshold_uncertainty_score":0.4299881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774776925525711,"score_gpt":0.2365511512703326,"score_spread":0.1988033820150755,"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."}}