{"id":"W2958396462","doi":"10.1177/1609406919862370","title":"Six Insights to Make Better Academic Conference Posters","year":2019,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Political science; Engineering ethics; Library science; Data science; Psychology; Computer science; Engineering","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":[0.04136685,0.001326957,0.0006087323,0.004180116,0.01500096,0.02960286,0.002752992,0.005138656,0.04543122],"category_scores_gemma":[0.1102679,0.0009282889,0.001406929,0.003072888,0.007281838,0.01484291,0.01404203,0.01293941,0.009597928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008212854,"about_ca_system_score_gemma":0.0144349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284369,"about_ca_topic_score_gemma":0.003201868,"domain_scores_codex":[0.9428083,0.040133,0.001723261,0.001702214,0.0103223,0.00331084],"domain_scores_gemma":[0.8959684,0.04151159,0.003778534,0.006108263,0.03162253,0.02101061],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004404394,0.0004656775,0.002026788,0.001702119,0.00005948257,0.001028693,0.371536,0.0002664574,0.002851029,0.1647895,0.2748242,0.1800097],"study_design_scores_gemma":[0.00008805411,0.0001860743,0.001315076,0.001185694,0.00005211951,0.000434909,0.2698978,0.000418401,0.001875342,0.0440162,0.6803985,0.0001317738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07671972,0.004942608,0.1013291,0.3674989,0.05450316,0.003508788,0.001626982,0.002628704,0.3872421],"genre_scores_gemma":[0.5020266,0.003815863,0.1463595,0.04150403,0.005719784,0.005589231,0.001195808,0.002407413,0.2913818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9586332,"threshold_uncertainty_score":0.2187714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4785232330319279,"score_gpt":0.5467523262950594,"score_spread":0.06822909326313153,"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."}}