{"id":"W2595283950","doi":"10.18438/b8r645","title":"What Do Australian Library and Information Professionals Experience as Evidence?","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Context (archaeology); Library science; Grounded theory; Sociology; Public relations; Medical education; Psychology; Qualitative research; Political science; Medicine; Computer science; Social science","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0009824402,0.0001926981,0.0001607612,0.0002004068,0.00267218,0.0145325,0.0007249071,0.0001847923,0.001193874],"category_scores_gemma":[0.004280949,0.0001715776,0.00004127861,0.0003380076,0.0006288006,0.9324125,0.000261631,0.0002672291,0.0001689695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008437746,"about_ca_system_score_gemma":0.001000757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003414347,"about_ca_topic_score_gemma":1.677883e-7,"domain_scores_codex":[0.9977273,0.0004112755,0.0005677451,0.0002348097,0.0007209978,0.0003378093],"domain_scores_gemma":[0.9966666,0.001500371,0.0009194097,0.0004624153,0.00006152397,0.0003897278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004570973,0.000045041,0.01074282,0.0001615099,0.000009586876,0.000008122151,0.02078575,0.000007545034,0.00003249363,0.8951333,0.007031315,0.06558544],"study_design_scores_gemma":[0.0002270779,0.0001661533,0.02747123,0.001638038,0.00001520382,0.00001295542,0.04537807,0.0001871515,0.001893178,0.001347393,0.9213594,0.0003041081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1132499,0.001223199,0.0001485699,0.8438254,0.001531858,0.001195076,0.00001486068,0.0003209204,0.03849019],"genre_scores_gemma":[0.8617353,0.03208786,0.003729234,0.09821731,0.0003209951,0.00009230362,0.0000576116,0.000009612635,0.003749775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9178801,"threshold_uncertainty_score":0.9997191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044370956700826,"score_gpt":0.3668966168545632,"score_spread":0.3225256601537372,"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."}}