{"id":"W4309182808","doi":"10.3138/jsp-2022-0022","title":"Seth J. Schwartz. <i>The Savvy Academic: Publishing in the Social and Health Sciences.</i>","year":2022,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Publishing; Library science; Sociology; Data science; Computer science; Political science","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002634748,0.0009815464,0.0005367172,0.00459996,0.004177718,0.00599177,0.001663364,0.005865019,0.02285903],"category_scores_gemma":[0.01627619,0.0005504592,0.0003502023,0.003792086,0.00242201,0.009630204,0.002325282,0.00534361,0.01867184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669525,"about_ca_system_score_gemma":0.006189977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03060188,"about_ca_topic_score_gemma":0.08881827,"domain_scores_codex":[0.9976496,0.0004661719,0.0002971828,0.0002055446,0.001208829,0.0001726877],"domain_scores_gemma":[0.9864739,0.006632953,0.0006608266,0.0003461922,0.004450683,0.00143552],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006868127,0.00000510138,0.00009643993,0.0001172863,0.000001805306,0.00003531761,0.0003134073,0.000007632298,0.00003086818,0.005191259,0.9765868,0.01760725],"study_design_scores_gemma":[0.000004805981,0.000006784265,0.001050379,0.0004626972,0.000003900872,0.00009422447,0.0006449178,0.00002606984,0.0001529181,0.003878491,0.9936584,0.00001660671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0006853727,0.2009196,0.001033993,0.6451343,0.06136763,0.00005371014,0.0006866297,0.0003271283,0.08979166],"genre_scores_gemma":[0.02294502,0.3187549,0.003259392,0.284005,0.04040766,0.0002522051,0.0007286372,0.0006668437,0.3289804],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9973652,"threshold_uncertainty_score":0.07647109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12980709026857,"score_gpt":0.3075355402623169,"score_spread":0.1777284499937469,"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."}}