{"id":"W4409669833","doi":"10.63485/7e4vb-kvz05","title":"For this journal, OA increases submissions, quality, and impact factor","year":2005,"lang":"en","type":"preprint","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impact factor; Quality (philosophy); Factor (programming language); Political science; Computer science; Law; Philosophy","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02563736,0.001026125,0.002277914,0.011911,0.003494711,0.02782307,0.001665627,0.003094954,0.09189723],"category_scores_gemma":[0.1715457,0.0006948141,0.001674338,0.01589967,0.002052569,0.01294711,0.003349196,0.004674615,0.02797672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004508602,"about_ca_system_score_gemma":0.01405672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003942522,"about_ca_topic_score_gemma":0.01175488,"domain_scores_codex":[0.9651529,0.00659575,0.004068947,0.002635714,0.0197779,0.001768822],"domain_scores_gemma":[0.756058,0.08150798,0.02995468,0.007428659,0.1043607,0.02068993],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003438345,0.0002056128,0.004945813,0.00353751,0.0002240474,0.0001211479,0.0004559413,0.000125799,0.001629099,0.007599011,0.7501751,0.2306371],"study_design_scores_gemma":[0.0002146522,0.0004094407,0.03491655,0.0009528201,0.0005013698,0.0009738976,0.0009120714,0.0007166369,0.002165517,0.01051848,0.9475685,0.0001501137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01856025,0.1532224,0.008393517,0.2491354,0.4430187,0.0003799371,0.004953471,0.002790579,0.1195458],"genre_scores_gemma":[0.1290907,0.1532474,0.01767672,0.03394425,0.4790011,0.0002760246,0.003952077,0.002468021,0.1803435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.988089,"threshold_uncertainty_score":0.3074269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8529167592658652,"score_gpt":0.6948283942763875,"score_spread":0.1580883649894776,"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."}}