{"id":"W43734522","doi":"","title":"Mergers, Acquisitions, and Access: STM Publishing Today","year":2003,"lang":"en","type":"article","venue":"USENIX Large Installation Systems Administration Conference","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Consolidation (business); Government (linguistics); Library science; Preprint; Political science; Scientific publishing; Business; Computer science; World Wide Web; Accounting; Law","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001325129,0.0002089213,0.000225762,0.0002181199,0.0009630866,0.01705503,0.0003553374,0.0001403773,0.00092939],"category_scores_gemma":[0.0006515394,0.0002076951,0.000047791,0.000129373,0.00009896692,0.01116568,0.00006888151,0.0003127567,0.00003021187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006395701,"about_ca_system_score_gemma":0.0003105518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002070731,"about_ca_topic_score_gemma":0.001495243,"domain_scores_codex":[0.9978608,0.0004493352,0.0006230053,0.0003593071,0.0004303951,0.0002771453],"domain_scores_gemma":[0.9980635,0.000175319,0.0003901076,0.0004712009,0.0007455548,0.0001543178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008875158,0.00005737388,0.00196223,0.00003291325,0.0000238771,0.00000182227,0.005578804,0.00001354677,0.00007813155,0.9877195,0.004205073,0.0003179002],"study_design_scores_gemma":[0.0005491787,0.00006839954,0.001934201,0.000107828,0.00002425469,0.00001630258,0.008567269,0.002230351,0.00006364905,0.003039771,0.9830197,0.0003791161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2837779,0.001245909,0.01208044,0.005892419,0.002824438,0.001114279,0.0004088595,0.0006526385,0.6920031],"genre_scores_gemma":[0.9937775,0.00006266957,0.0001450794,0.0002305991,0.0002287327,0.00005392613,0.0003655296,0.00002030613,0.005115722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9846797,"threshold_uncertainty_score":0.9999839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08409144676023507,"score_gpt":0.2885181911834829,"score_spread":0.2044267444232478,"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."}}