{"id":"W2961139064","doi":"10.29173/iasl7192","title":"Training school librarians for the information age: the case of South African teachers on the margins","year":2016,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Medical education; Political science; Geography; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005167809,0.0004550937,0.0006898903,0.002027313,0.04018483,0.009076756,0.001781474,0.007293541,0.0162562],"category_scores_gemma":[0.01684409,0.00108359,0.0005287018,0.002804558,0.01241895,0.007454841,0.00975628,0.007109759,0.001620224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009740748,"about_ca_system_score_gemma":0.01610812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08789007,"about_ca_topic_score_gemma":0.1672185,"domain_scores_codex":[0.9941282,0.002607869,0.0001902782,0.0002669538,0.0003903609,0.002416319],"domain_scores_gemma":[0.9849933,0.006632125,0.001389975,0.000301126,0.001097417,0.005586045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005367916,0.0002692814,0.008857075,0.0001523855,0.000008714478,0.02289561,0.9452306,0.00009944815,0.0005309551,0.01124868,0.004032637,0.00662092],"study_design_scores_gemma":[0.00001790055,0.00005085785,0.002927897,0.000151752,0.0000113213,0.002799909,0.9682915,0.00007053914,0.0002297354,0.001030941,0.02440223,0.00001560305],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231235,0.0007259916,0.0004962384,0.04208381,0.0001032462,0.00009284711,0.00003366338,0.00002585301,0.03331487],"genre_scores_gemma":[0.9841015,0.000683921,0.0004311281,0.003170371,0.00004222681,0.00003659455,0.00001017951,0.00002483395,0.01149918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08789007,"threshold_uncertainty_score":0.174757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05587196431603308,"score_gpt":0.2824242632047718,"score_spread":0.2265522988887387,"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."}}