{"id":"W2799696170","doi":"10.5539/cis.v11n2p76","title":"Corpus Analysis and Annotation for Helpful Sentences in Product Reviews","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Computer science; Helpfulness; Annotation; Natural language processing; Product (mathematics); Quality (philosophy); Information retrieval; Artificial intelligence; Scheme (mathematics); Resource (disambiguation); Task (project management); Rank (graph theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.001264544,0.00007106893,0.0001521075,0.0007158015,0.000220916,0.0005579966,0.0002851101,0.00001192901,0.000002169623],"category_scores_gemma":[0.00005701226,0.0000562544,0.00003060985,0.002405076,0.0001793832,0.006069278,0.0001382967,0.00002559439,0.000007424091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001198639,"about_ca_system_score_gemma":0.00002996364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001119801,"about_ca_topic_score_gemma":0.000007457164,"domain_scores_codex":[0.9990765,0.0000196592,0.0003276213,0.0002313069,0.0001942256,0.0001506777],"domain_scores_gemma":[0.9993311,0.00003448806,0.0001551905,0.0001832052,0.0002410499,0.00005494694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004897638,0.00001437142,0.04135476,0.00003148763,0.00001793996,1.130691e-7,0.006881118,0.0001045379,0.0001890564,0.01273812,0.0004275719,0.938236],"study_design_scores_gemma":[0.0001577939,0.00006687987,0.1208925,0.00001685856,0.00001138785,0.000002335874,0.00004494172,0.8682786,0.000516168,0.0001713841,0.009745268,0.00009592997],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07568997,0.0001569069,0.9230981,0.0004025818,0.0002251368,0.0001957851,7.01689e-7,0.00001826506,0.0002125785],"genre_scores_gemma":[0.8592041,0.0003088053,0.1394459,0.0009039763,0.00009505648,0.00001584179,0.000007836354,0.000001036928,0.00001737879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9381401,"threshold_uncertainty_score":0.5380774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024982395979917,"score_gpt":0.2967413276958779,"score_spread":0.2717589317159609,"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."}}