{"id":"W2966755443","doi":"","title":"Content, Physical Appearance, Copy Condition - Tagging Customer Book Reviews.","year":2017,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Natural language processing","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":[0.001058052,0.0008732387,0.0005860153,0.006393656,0.0004161712,0.002951516,0.0006698993,0.0006963952,0.1516279],"category_scores_gemma":[0.01499162,0.0004179825,0.0003453786,0.006049414,0.000191474,0.001574408,0.0005961523,0.0004292204,0.2199958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006115743,"about_ca_system_score_gemma":0.001035406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006327326,"about_ca_topic_score_gemma":0.01579853,"domain_scores_codex":[0.9984254,0.0001575769,0.000170788,0.0003831392,0.0007819461,0.00008119152],"domain_scores_gemma":[0.9933329,0.001762525,0.0007897535,0.0009366425,0.002650751,0.0005274723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003505172,0.0001134486,0.009312171,0.0006931826,0.00004018724,0.00009645753,0.00004513386,0.0005262476,0.005925999,0.0005550588,0.7565496,0.2257921],"study_design_scores_gemma":[0.00008409784,0.0002233657,0.1981664,0.0001927374,0.0001140318,0.001073141,0.0001731058,0.01513317,0.01229391,0.001512157,0.7708868,0.0001471432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03171887,0.002834406,0.01905218,0.001626976,0.002219528,0.0007756457,0.7680656,0.04367312,0.1300336],"genre_scores_gemma":[0.1456723,0.002599772,0.05580517,0.0007055267,0.001424253,0.000608773,0.4115888,0.007636063,0.3739595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1516279,"threshold_uncertainty_score":0.507246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05136221678163815,"score_gpt":0.2718650300484797,"score_spread":0.2205028132668416,"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."}}