{"id":"W2083278517","doi":"10.1108/02641610610686012","title":"Document supply and open access: an international survey on grey literature","year":2006,"lang":"en","type":"article","venue":"Interlending & Document Supply","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grey literature; Originality; Library science; Value (mathematics); Business; Political science; World Wide Web; Computer science; Regional science; Sociology; Law; MEDLINE","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":["metaepi_narrow","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01574456,0.0003766142,0.0004867938,0.02550777,0.0003657947,0.06581327,0.009585465,0.0001585913,0.00418689],"category_scores_gemma":[0.004293018,0.0002726008,0.0001357536,0.03066548,0.0001548165,0.01063903,0.004697025,0.0004839819,0.0003438759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878635,"about_ca_system_score_gemma":0.0001123068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005830094,"about_ca_topic_score_gemma":0.0009480792,"domain_scores_codex":[0.9894938,0.0006266412,0.001097182,0.00160552,0.006352478,0.0008243396],"domain_scores_gemma":[0.9938046,0.002460814,0.0003917499,0.00106271,0.001778824,0.0005012789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522984,0.0003008971,0.7899497,0.000004766094,0.00004452168,0.00007942731,0.0002358317,0.00003651357,0.0002565848,0.007861919,0.117338,0.08363958],"study_design_scores_gemma":[0.001079564,0.000505014,0.841276,0.00009942355,0.000006102585,0.00002201673,0.0001110064,0.0001945106,0.001457693,0.02522945,0.1296383,0.0003809131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769985,0.0004905112,0.0004353879,0.003785841,0.002193498,0.0008117356,0.0005713875,0.00005757249,0.01465558],"genre_scores_gemma":[0.9865047,0.0003768312,0.00090676,0.0004932684,0.0002671456,0.00005477201,0.0003911956,0.00002936388,0.010976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08325867,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3704710273905958,"score_gpt":0.5833922385005443,"score_spread":0.2129212111099485,"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."}}