{"id":"W4389815574","doi":"10.18438/eblip30479","title":"Call for Applicants for EBLIP Journal: Production Editor","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Production (economics); Library science; World Wide Web; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00902475,0.0001128622,0.0001626216,0.0004843583,0.0005667738,0.004109676,0.0008528279,0.0001273046,0.00005355601],"category_scores_gemma":[0.08326488,0.00008386796,0.00006824898,0.001292625,0.00005009575,0.4245922,0.0001265415,0.0002889106,0.0001161226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177141,"about_ca_system_score_gemma":0.0003309876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001343224,"about_ca_topic_score_gemma":1.90653e-8,"domain_scores_codex":[0.9976992,0.0001811323,0.0007884885,0.000241901,0.000842426,0.0002468269],"domain_scores_gemma":[0.9866361,0.01154042,0.0008988086,0.0002836311,0.0004661364,0.0001748766],"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":[0.0004261976,0.000008387104,0.0002142138,0.00003346397,0.000006119367,2.249116e-7,0.0001429349,0.0003262035,0.0000190023,0.007784809,0.9242978,0.06674063],"study_design_scores_gemma":[0.0003093789,0.00009138917,0.001010543,0.00007794769,0.00001568428,0.00001647443,0.001105827,0.0143735,0.0006177847,0.004337705,0.9779233,0.0001204499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004676159,0.0003434757,0.1498493,0.8294742,0.01106503,0.002117836,0.0001117279,0.0003777629,0.001984585],"genre_scores_gemma":[0.2664668,0.00839627,0.134921,0.4744219,0.06925447,0.003348234,0.0009759708,0.000169967,0.04204532],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4204825,"threshold_uncertainty_score":0.9969242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07322009486696082,"score_gpt":0.3962526632301172,"score_spread":0.3230325683631563,"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."}}