{"id":"W4284989007","doi":"10.48175/ijarsct-5715","title":"Study of Recommendation System","year":2022,"lang":"en","type":"article","venue":"International Journal of Advanced Research in Science Communication and Technology","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Globe; Set (abstract data type); Point of interest; Data science; Quarter (Canadian coin); World Wide Web; Artificial intelligence; Geography; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003874942,0.0005199168,0.0009383453,0.003303056,0.001529718,0.004430531,0.001368044,0.001602846,0.006564118],"category_scores_gemma":[0.01982082,0.0002740193,0.00117178,0.003966049,0.000833336,0.007278637,0.0006073797,0.001441685,0.001839182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003525532,"about_ca_system_score_gemma":0.0018731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032375,"about_ca_topic_score_gemma":0.008127495,"domain_scores_codex":[0.9938338,0.001874267,0.0004489177,0.001646473,0.001738964,0.0004576782],"domain_scores_gemma":[0.9889168,0.005846038,0.0007146997,0.0007924679,0.003446555,0.0002834576],"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":[0.0006010539,0.0008871927,0.2015546,0.003403733,0.00102155,0.00219623,0.005321469,0.05627727,0.01096424,0.2471177,0.03830349,0.4323515],"study_design_scores_gemma":[0.00008394745,0.0008145274,0.1219796,0.0004292184,0.000490433,0.003100058,0.006011306,0.7036344,0.008110467,0.06180227,0.09330116,0.0002426699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200585,0.04195657,0.2160497,0.01312964,0.0008029797,0.0009944113,0.004216363,0.0008254269,0.1019663],"genre_scores_gemma":[0.9465278,0.005876502,0.03048489,0.0003941654,0.0002823816,0.0001915327,0.001391858,0.00005919378,0.0147916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02032375,"threshold_uncertainty_score":0.04041094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09041018752325591,"score_gpt":0.442330979164459,"score_spread":0.3519207916412031,"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."}}