{"id":"W2982298500","doi":"10.21083/partnership.v14i2.5452","title":"Searching the Grey Literature: A Handbook for Searching Reports, Working Papers, and Other Unpublished Research (Book Review)","year":2019,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Grey literature; Library science; Data science; Computer science; Information retrieval; Engineering; Operations research; History; Political science; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01405578,0.000115259,0.0001906988,0.0008125371,0.001708049,0.008749055,0.0003187827,0.00006823464,0.0001586673],"category_scores_gemma":[0.003699404,0.00006395632,0.00006479669,0.0009820039,0.0003029565,0.02653487,0.0001748369,0.001297438,0.00001037843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001663353,"about_ca_system_score_gemma":0.0004995243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004931311,"about_ca_topic_score_gemma":0.0001254429,"domain_scores_codex":[0.9978389,0.0003920194,0.0004771057,0.0001420999,0.0006677355,0.0004821282],"domain_scores_gemma":[0.9967293,0.001751961,0.0003564425,0.0002584531,0.0007659969,0.0001378232],"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":[0.0007860134,0.00004157838,0.01675067,0.00495586,0.0005839788,0.0001525928,0.009894845,0.00004856516,0.00006220583,0.3254253,0.562439,0.07885937],"study_design_scores_gemma":[0.0002229193,0.00004435534,0.000404478,0.001146577,0.00004350061,0.0001421681,0.002887677,0.0008401887,0.000007400895,0.001764639,0.9924082,0.00008796468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01022606,0.2461395,0.00002884083,0.4395372,0.0002691948,0.002332894,0.000006571584,0.00001979238,0.30144],"genre_scores_gemma":[0.7343639,0.07653101,0.0007104388,0.1686442,0.003199497,0.00008774467,0.00007986695,0.00008801174,0.01629537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7241378,"threshold_uncertainty_score":0.9995916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908717308313854,"score_gpt":0.3231408158370817,"score_spread":0.2740536427539431,"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."}}