{"id":"W7098145047","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services services bibliographiques","year":2015,"lang":"en","type":"article","venue":"","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); The Internet; Government (linguistics); Electronic document; Information system","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":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003511244,0.0002058251,0.0002067703,0.01460773,0.0002438795,0.002326487,0.0002453561,0.00006821226,0.0004422389],"category_scores_gemma":[0.000005356958,0.0001748272,0.0001352095,0.01817443,0.00008039892,0.004570257,0.0002764869,0.00008183543,0.0002846277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003222717,"about_ca_system_score_gemma":0.000008028886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005798454,"about_ca_topic_score_gemma":0.002957993,"domain_scores_codex":[0.9988739,0.00001193192,0.0002457545,0.0003197395,0.000281299,0.0002673289],"domain_scores_gemma":[0.9988449,0.00002434459,0.0001298829,0.0002953282,0.0006529801,0.00005254124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006839142,0.0008269988,0.6271428,0.001077508,0.0008532624,0.00005414754,0.0004336429,0.0001244754,0.001247365,0.2284761,0.1369122,0.002783071],"study_design_scores_gemma":[0.002050139,0.00009026082,0.2149928,0.0002652378,0.0013564,0.00001628348,0.00993055,0.03223729,0.0001163258,0.1303068,0.6069619,0.001675981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7434521,0.001307757,0.0009005802,0.008005332,0.0002095858,0.0002833472,0.00003746457,0.0007153688,0.2450884],"genre_scores_gemma":[0.978609,0.001277401,0.001322985,0.01785697,0.0004653946,0.00002284427,0.0001908088,0.00002803352,0.0002266041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4700497,"threshold_uncertainty_score":0.9987092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759223172531066,"score_gpt":0.2495260500836032,"score_spread":0.2319338183582926,"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."}}