{"id":"W3126442029","doi":"10.29173/iasl7631","title":"Marketing Strategy to Enhance New Book Reading","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Perception; Stereotype (UML); Marketing; Marketing strategy; Loan; Psychology; Business; Computer science; Political science; Social psychology","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"],"consensus_categories":[],"category_scores_codex":[0.0003264287,0.0002353175,0.000243423,0.00009983473,0.0001604435,0.00127784,0.00119855,0.00009187906,0.00027855],"category_scores_gemma":[0.0001498432,0.0002372309,0.00005743436,0.0007441458,0.00002094012,0.003749973,0.0006528692,0.0002295643,0.0002003847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315643,"about_ca_system_score_gemma":0.0004775784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005039445,"about_ca_topic_score_gemma":0.000007187436,"domain_scores_codex":[0.9979851,0.0000246093,0.0003015957,0.0007949531,0.0003538897,0.0005398136],"domain_scores_gemma":[0.9986338,0.00007162798,0.000110126,0.0002405223,0.0005458721,0.000398078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236895,0.0001624674,0.006321815,0.0004636047,0.00008763213,0.0001910595,0.178139,0.00002183219,0.03177824,0.1001307,0.1857604,0.4968196],"study_design_scores_gemma":[0.0008208117,0.0008611976,0.04341582,0.001814234,0.00003998483,0.0003285529,0.04890471,0.009730939,0.3224042,0.02330472,0.5451757,0.003199199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476703,0.001150968,0.03678852,0.02034934,0.0005840422,0.0003964845,0.00000855401,0.001024658,0.09202721],"genre_scores_gemma":[0.9485186,0.00005181175,0.0231731,0.004586224,0.0002979338,0.00001381006,0.000002537661,0.00001696913,0.02333902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4936204,"threshold_uncertainty_score":0.999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467375798547603,"score_gpt":0.256169359293716,"score_spread":0.2414956013082399,"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."}}