{"id":"W2136250504","doi":"10.18438/b8pc8s","title":"Counting What Cannot be Counted: Bringing the Humanities to EBLIP","year":2014,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Déjà vu; Digital humanities; Humanities; Computer science; Library science; Psychology; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06327481,0.0009901182,0.002416645,0.007115046,0.007945628,0.02294017,0.005072542,0.008992918,0.0527778],"category_scores_gemma":[0.4454757,0.001236218,0.002018198,0.009701277,0.01595515,0.04222284,0.01741082,0.01949357,0.007477317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006726748,"about_ca_system_score_gemma":0.01766204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007930769,"about_ca_topic_score_gemma":0.01350228,"domain_scores_codex":[0.9315177,0.04578675,0.003657406,0.003096895,0.01439263,0.001548716],"domain_scores_gemma":[0.4666536,0.461329,0.01060955,0.02186725,0.03287284,0.006667764],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002681557,0.0001046002,0.002057511,0.004077543,0.0002249283,0.0002952376,0.002627083,0.0007252602,0.0001302371,0.2859179,0.3642363,0.3393353],"study_design_scores_gemma":[0.00004097361,0.00004282056,0.0009580398,0.01058692,0.0001612575,0.0001425328,0.00369315,0.001066627,0.0004512221,0.7086563,0.2741036,0.00009657404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002520238,0.07105724,0.07491596,0.7513473,0.03695918,0.0001897397,0.001046232,0.0005980589,0.06136608],"genre_scores_gemma":[0.1971133,0.1399239,0.186225,0.3477255,0.05547031,0.002090922,0.002089865,0.002671907,0.06668942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9367252,"threshold_uncertainty_score":0.3346332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09096804897536663,"score_gpt":0.4164733489662953,"score_spread":0.3255052999909287,"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."}}