{"id":"W2171257228","doi":"10.22230/src.2013v4n2a86","title":"Availability and Accessibility of Research Outputs in NARS: A case study with IARI","year":2013,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Work (physics); New delhi; Open access journal; Political science; Library science; Public relations; Business; Engineering; Computer science; Medicine; Geography; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.2280778,0.0001193104,0.0003325726,0.02887952,0.001069638,0.007278462,0.002751038,0.0001559192,0.0001512024],"category_scores_gemma":[0.0875973,0.00007519985,0.00002777552,0.09313285,0.002154889,0.004829453,0.004275287,0.002503217,0.00004126235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585236,"about_ca_system_score_gemma":0.000388734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869635,"about_ca_topic_score_gemma":0.004494494,"domain_scores_codex":[0.9749307,0.0111118,0.0009353479,0.001015951,0.01123707,0.0007691372],"domain_scores_gemma":[0.9542624,0.0208279,0.0001626594,0.003336102,0.02088093,0.0005300327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008417195,0.0008908602,0.92588,0.00002250003,0.000008558247,0.00004148639,0.003025457,5.762416e-7,0.0003307162,0.0002447014,0.0002215297,0.06924949],"study_design_scores_gemma":[0.0008776736,0.00101914,0.9387676,0.00003769554,0.000001432283,0.00004957622,0.04093321,0.0007859631,0.0001518894,0.0170581,0.0002254807,0.00009226524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918559,0.002848519,0.00002686941,0.001914409,0.00001399524,0.00184929,0.000005667425,0.000009083841,0.001476268],"genre_scores_gemma":[0.9981281,0.0005904308,0.0007737816,0.000008198357,0.000008059228,0.0001560412,0.000001287947,0.000007784601,0.0003263425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404805,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7214859327264074,"score_gpt":0.6436624978410018,"score_spread":0.07782343488540555,"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."}}