{"id":"W4251641029","doi":"10.18438/eblip29425","title":"EBLIP Panel Presentation at 2018 American Library Association Annual Conference","year":2018,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Association (psychology); Library science; Computer science; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0007960037,0.0001358707,0.0001296128,0.0001716314,0.0009975298,0.001543336,0.0003219481,0.0001074872,0.001758349],"category_scores_gemma":[0.002251675,0.000133509,0.00003633217,0.0009782729,0.0004916913,0.46799,0.0001184734,0.0001545667,0.0004530321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004146506,"about_ca_system_score_gemma":0.0008375966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006366,"about_ca_topic_score_gemma":0.000002538415,"domain_scores_codex":[0.9977148,0.0006458602,0.0004066207,0.0002223404,0.0006911432,0.0003192675],"domain_scores_gemma":[0.997045,0.001612608,0.0007717784,0.0001893976,0.0001410436,0.0002401581],"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":[0.001480586,0.0001697174,0.1025398,0.00009140821,0.00004844025,0.000007024317,0.03758914,0.00002620403,0.0001999361,0.4404818,0.3515159,0.06584997],"study_design_scores_gemma":[0.0001895157,0.0003198842,0.04050579,0.00006494326,0.00001864439,0.00000231876,0.01186452,0.0008300147,0.002285604,0.0003301423,0.9433811,0.0002075204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1769487,0.0001507774,0.002035919,0.6130583,0.001240525,0.001061356,0.0001298569,0.0008395643,0.2045351],"genre_scores_gemma":[0.9101167,0.001731131,0.004536859,0.07166099,0.0008418125,0.00003135632,0.0001990699,0.00001149986,0.01087061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.733168,"threshold_uncertainty_score":0.9994932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350565025965233,"score_gpt":0.3102899458125753,"score_spread":0.2767842955529229,"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."}}