{"id":"W4385073778","doi":"10.17758/eares14","title":"International Conference Proceedings CRSET-23, RCBES-23 & EMSSH-23 July 20-21, 2023 Montreal (Canada)","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002133858,0.001578994,0.001010951,0.001469866,0.002588141,0.008727825,0.001609928,0.001532289,0.602895],"category_scores_gemma":[0.002441823,0.0003877679,0.0008482484,0.001877981,0.0009778505,0.001555098,0.001989392,0.001493437,0.3901393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005278534,"about_ca_system_score_gemma":0.01602401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2255609,"about_ca_topic_score_gemma":0.391683,"domain_scores_codex":[0.9989246,0.0001102871,0.00002954367,0.0001305044,0.0005847206,0.0002203662],"domain_scores_gemma":[0.9973584,0.0002295314,0.00004805674,0.0002041571,0.001340648,0.0008192383],"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":[0.00008324787,0.00003506492,0.0001640911,0.00006849867,0.000005522706,0.00003355764,0.00004160684,0.0002480572,0.0003541469,0.001715048,0.9695339,0.0277172],"study_design_scores_gemma":[0.00002314603,0.00003318048,0.0008171496,0.00004771223,0.000007456996,0.00001921156,0.0001059213,0.0005279966,0.0004716919,0.0007932123,0.9971436,0.000009715336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004572584,0.002677043,0.01569051,0.008147948,0.01447368,0.0007842927,0.04092686,0.006196174,0.9065309],"genre_scores_gemma":[0.002422291,0.000396664,0.00168289,0.000144275,0.0002471407,0.0000559681,0.007557027,0.000602931,0.9868907],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.397105,"threshold_uncertainty_score":0.566422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167160705354303,"score_gpt":0.3929495839087674,"score_spread":0.2762335133733371,"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."}}