{"id":"W2990936998","doi":"10.2106/jbjs.oa.16.00003","title":"Introducing JBJS Open Access","year":2016,"lang":"en","type":"editorial","venue":"JBJS Open Access","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publication; Mandate; Editorial board; Political science; Library science; Publishing; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"category_scores_codex":[0.07567778,0.0009544882,0.002484496,0.07649464,0.001404807,0.4254835,0.2482761,0.001541962,0.02064544],"category_scores_gemma":[0.254324,0.0005908153,0.0004492132,0.2154315,0.0004632852,0.04220549,0.2354112,0.002297034,0.00539354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000952559,"about_ca_system_score_gemma":0.005503834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008471761,"about_ca_topic_score_gemma":0.0008176752,"domain_scores_codex":[0.9573551,0.001285959,0.002965485,0.005497311,0.0305541,0.002342083],"domain_scores_gemma":[0.9355463,0.03457361,0.003143059,0.007914095,0.0170041,0.001818886],"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":[0.0001499605,0.0001698859,0.003067771,0.00002427224,0.00007166966,0.00005553129,0.00002747849,0.000007454122,0.00001954878,0.0001718599,0.8577188,0.1385158],"study_design_scores_gemma":[0.001632973,0.0001244711,0.0023068,0.0001756314,0.00002899033,0.000002494301,0.00004137087,0.00008981635,0.0002963459,0.01394331,0.9803507,0.001007136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004327374,0.0006443825,0.001341746,0.004357314,0.836694,0.003134195,0.001262392,0.000062451,0.1520708],"genre_scores_gemma":[0.002097782,0.002007902,0.000805896,0.0005740509,0.8190943,0.0005525036,0.0002722598,0.0002050282,0.1743903],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.383278,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7193090262193096,"score_gpt":0.7295967187681344,"score_spread":0.01028769254882478,"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."}}