{"id":"W4413008886","doi":"10.1162/qss.a.17","title":"On the open road to universal indexing: OpenAlex and Open Journal Systems","year":2025,"lang":"en","type":"article","venue":"Quantitative Science Studies","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Search engine indexing; Computer science; World Wide Web; Information retrieval","routes":{"ca_aff":true,"ca_fund":true,"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","bibliometrics","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.04876322,0.0002969302,0.001067913,0.01238938,0.00592988,0.01960291,0.001839982,0.001353366,0.0101438],"category_scores_gemma":[0.1505275,0.000423545,0.000470431,0.01843494,0.0249433,0.02730693,0.02472941,0.002120693,0.0007183631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00717355,"about_ca_system_score_gemma":0.007482404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004399975,"about_ca_topic_score_gemma":0.004186812,"domain_scores_codex":[0.9526557,0.02334199,0.003616614,0.00453329,0.01147861,0.004373794],"domain_scores_gemma":[0.7928424,0.1259704,0.03110396,0.02636696,0.01341212,0.01030418],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001403305,0.0001142585,0.102806,0.0004469675,0.0000793385,0.0001976927,0.03476014,0.000708705,0.00062897,0.7724415,0.0024516,0.08522444],"study_design_scores_gemma":[0.00005905209,0.0001392772,0.11821,0.0009221953,0.000081172,0.0005416782,0.06163093,0.00321368,0.001412424,0.7408473,0.07283568,0.0001065928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.79963,0.004930612,0.0360608,0.02635117,0.000185576,0.0001395417,0.0006832142,0.0002130846,0.131806],"genre_scores_gemma":[0.9957137,0.0004029891,0.002549902,0.0002913649,0.00006533114,0.00003023831,0.0001022594,0.00003305999,0.0008111303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.99816,"threshold_uncertainty_score":0.2578877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8496207791303315,"score_gpt":0.7015085151665741,"score_spread":0.1481122639637574,"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."}}