{"id":"W4205204427","doi":"10.18438/eblip30044","title":"Announcing and Advocating: The Missing Step in the EBLIP Model","year":2021,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Operations research; Mathematics","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":[0.01975552,0.001261938,0.002375972,0.002396843,0.003717768,0.01230931,0.00395592,0.01592404,0.04507859],"category_scores_gemma":[0.08175434,0.0009352873,0.001189806,0.00249068,0.01942462,0.02621026,0.006280494,0.0124351,0.004803149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003675669,"about_ca_system_score_gemma":0.007425086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006799644,"about_ca_topic_score_gemma":0.005759107,"domain_scores_codex":[0.984476,0.009972287,0.0004627407,0.001293712,0.002379939,0.001415292],"domain_scores_gemma":[0.9275582,0.05989865,0.002325852,0.004101631,0.003307279,0.002808425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001113132,0.00008934114,0.0006132804,0.0001248461,0.00002828344,0.0001248432,0.0003985918,0.003095917,0.00006631113,0.9773552,0.004711035,0.01328093],"study_design_scores_gemma":[0.00006833014,0.00002459845,0.0001379121,0.00008791956,0.00002518255,0.00007229052,0.0002211153,0.00804231,0.00006465451,0.9858543,0.005383605,0.00001770204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03341183,0.002384669,0.3052858,0.2424912,0.001011098,0.0004959397,0.0009855821,0.0002810978,0.4136529],"genre_scores_gemma":[0.8489959,0.002559226,0.07544353,0.02543109,0.00146966,0.0009235562,0.0002042092,0.000192199,0.04478066],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04507859,"threshold_uncertainty_score":0.1508029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054016340374883,"score_gpt":0.3691787815054047,"score_spread":0.2637771474679164,"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."}}