{"id":"W2753995967","doi":"10.29173/iasl7458","title":"Awards with Rewards","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Collection development; Quality (philosophy); Curriculum; Selection (genetic algorithm); Public relations; Psychology; Sociology; Library science; Political science; Law; Computer science; Epistemology; Artificial intelligence; Philosophy","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":[0.007042217,0.001030326,0.0008146961,0.003336974,0.007462819,0.01914623,0.001959881,0.00392658,0.162173],"category_scores_gemma":[0.03841589,0.0007908892,0.0007371588,0.00349662,0.007946372,0.01810431,0.01564531,0.007690562,0.04167371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006652312,"about_ca_system_score_gemma":0.006928706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004932396,"about_ca_topic_score_gemma":0.007913118,"domain_scores_codex":[0.9830548,0.004637406,0.0008498636,0.002432129,0.006707971,0.002317881],"domain_scores_gemma":[0.9876785,0.002558695,0.001791613,0.0021271,0.003269718,0.002574299],"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":[0.0000651696,0.00006939987,0.003093511,0.0001052312,0.00001535027,0.0001192655,0.002068264,0.0001852687,0.00006789607,0.8056849,0.1202934,0.06823234],"study_design_scores_gemma":[0.00002669077,0.00007423846,0.002861952,0.0002588848,0.00001157941,0.000238727,0.001657486,0.0002139749,0.0001279672,0.1320917,0.8623903,0.00004652387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008895243,0.002496397,0.009173679,0.02675106,0.004989196,0.0001839513,0.0005923286,0.0003871959,0.9465309],"genre_scores_gemma":[0.2957188,0.003095459,0.007003656,0.01554528,0.003320174,0.0004936928,0.0007803502,0.0006853532,0.6733572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.162173,"threshold_uncertainty_score":0.5425227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047865827384736,"score_gpt":0.2960509520966224,"score_spread":0.265572293822775,"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."}}