{"id":"W4240545224","doi":"10.32920/ryerson.14655450","title":"Content Recommendation on Small Scale Sparse Social Network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Scale (ratio); Data science; Information retrieval; Social network (sociolinguistics); Recommender system; World Wide Web; Social media; Data mining; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569604,0.0007409408,0.001002346,0.002548422,0.0008660218,0.001174808,0.0009734667,0.0009950512,0.001839988],"category_scores_gemma":[0.009815664,0.0003776111,0.0007758067,0.002910685,0.0004080813,0.002134483,0.0006487726,0.0007545832,0.001006084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008968411,"about_ca_system_score_gemma":0.0004708199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851657,"about_ca_topic_score_gemma":0.03405227,"domain_scores_codex":[0.9987966,0.0004945974,0.00005846678,0.0003394895,0.0002184982,0.00009240916],"domain_scores_gemma":[0.9939474,0.003719495,0.0006341162,0.0009745185,0.000553629,0.0001708223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001759982,0.001023574,0.07564423,0.001400394,0.001008467,0.001113189,0.001282292,0.5516798,0.01655987,0.02341712,0.0366049,0.2885062],"study_design_scores_gemma":[0.00003789482,0.0001106541,0.007728737,0.00002481783,0.00003995957,0.0001197329,0.0001512454,0.980568,0.0009056873,0.007909613,0.002387618,0.00001611661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491748,0.00224823,0.2274835,0.001520111,0.0001436523,0.0003731836,0.01003356,0.001566869,0.007456123],"genre_scores_gemma":[0.8980373,0.0007314283,0.08490642,0.0001403973,0.0002250764,0.0001603106,0.01030675,0.00007062931,0.005421813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01851657,"threshold_uncertainty_score":0.03681761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341038310207381,"score_gpt":0.2845008703304856,"score_spread":0.1503970393097475,"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."}}