{"id":"W2594765034","doi":"","title":"Research guides: Critical Information Policy Studies: The journal literature","year":2016,"lang":"en","type":"libguides","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Library science; Key (lock); Operations research; Data science; Engineering ethics; Computer science; Sociology; Management science; Political science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.01534765,0.0009120074,0.001138109,0.02231848,0.003574221,0.01228159,0.001316815,0.003293036,0.06572009],"category_scores_gemma":[0.06408353,0.0008983407,0.0004379383,0.03440671,0.004460435,0.01155839,0.003063398,0.002974178,0.02668935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007351941,"about_ca_system_score_gemma":0.03160662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455396,"about_ca_topic_score_gemma":0.03390854,"domain_scores_codex":[0.9916928,0.003766066,0.001469951,0.0004613583,0.002339336,0.0002705655],"domain_scores_gemma":[0.8997758,0.05541251,0.004341665,0.003510012,0.0328208,0.004139325],"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":[0.00001641991,0.00003114047,0.0002787159,0.003899417,0.000003852932,0.0000385863,0.002301829,0.00005424364,0.0001262128,0.02998888,0.8614258,0.101835],"study_design_scores_gemma":[0.000006920345,0.00001189451,0.0004999017,0.005584843,0.000005680134,0.00003901728,0.003386368,0.00003803142,0.00009133683,0.00801497,0.9823108,0.00001021291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002532388,0.2534646,0.01739545,0.2418253,0.02299938,0.00329513,0.01093313,0.002111389,0.4454433],"genre_scores_gemma":[0.0311652,0.5291112,0.08733718,0.04329102,0.02256703,0.005171398,0.01059116,0.002294806,0.268471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06572009,"threshold_uncertainty_score":0.2198555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1431322734522301,"score_gpt":0.5050167492455958,"score_spread":0.3618844757933657,"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."}}