{"id":"W80592116","doi":"","title":"Using Distinctive Information Channels for a Mission-based Web Recommender System","year":2004,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recommender system; Computer science; World Wide Web; Web navigation; Intrusiveness; Channel (broadcasting); Information retrieval; Web page; Computer network","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":[0.004011101,0.0006560714,0.00123397,0.001393302,0.0009898683,0.00191891,0.00137448,0.002002668,0.001589637],"category_scores_gemma":[0.01174819,0.0006791121,0.0007942928,0.0009835365,0.0008053795,0.003183759,0.001238384,0.001371633,0.0009161552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008181913,"about_ca_system_score_gemma":0.001228695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008307741,"about_ca_topic_score_gemma":0.01409891,"domain_scores_codex":[0.9976005,0.001225508,0.000122891,0.0003430763,0.0005182241,0.0001898287],"domain_scores_gemma":[0.9900289,0.00580483,0.0005123865,0.001702188,0.00153224,0.0004195267],"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":[0.0025529,0.001164146,0.04445283,0.0003928014,0.0005974942,0.0006780577,0.001250227,0.4657683,0.03065496,0.04299843,0.006164283,0.4033256],"study_design_scores_gemma":[0.00006720799,0.000189288,0.002079191,0.00001376733,0.00008900547,0.0001453355,0.00007595369,0.9862971,0.003853989,0.005308575,0.001811535,0.00006897891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1524932,0.0005289849,0.8377482,0.0009665654,0.0000974958,0.0003087526,0.0002446201,0.002139139,0.005473068],"genre_scores_gemma":[0.8278458,0.0002291246,0.1688156,0.0001691318,0.00007622167,0.0001787761,0.0002032186,0.00004907097,0.002433112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008307741,"threshold_uncertainty_score":0.02121294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644724893324193,"score_gpt":0.2945394596810372,"score_spread":0.2380922107477953,"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."}}