{"id":"W4232428191","doi":"10.1007/978-1-4939-7131-2_100961","title":"Recommender Engine","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Recommender system; Information retrieval; World Wide Web","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":[0.0006857733,0.001023427,0.0009648679,0.001592331,0.0007237873,0.002083948,0.001777872,0.001368552,0.09381519],"category_scores_gemma":[0.001969717,0.0005710046,0.0009131104,0.001872931,0.0001472383,0.002867599,0.0009842302,0.001291758,0.106295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482555,"about_ca_system_score_gemma":0.0007135437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936964,"about_ca_topic_score_gemma":0.006207958,"domain_scores_codex":[0.9994752,0.00004757366,0.00002854785,0.0001292872,0.000283443,0.00003595677],"domain_scores_gemma":[0.9994569,0.00007638206,0.0000157851,0.0002035047,0.0002080599,0.00003941343],"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":[0.0001109342,0.0002115881,0.0006135603,0.0004466216,0.0001037347,0.0001200126,0.00007207048,0.00191773,0.009367323,0.03571118,0.3546314,0.5966939],"study_design_scores_gemma":[0.00004501266,0.00007236985,0.0006161871,0.0001015214,0.0000977797,0.0005261016,0.00003981881,0.0327069,0.009367472,0.01455614,0.9418183,0.00005240208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01021025,0.006332221,0.3794465,0.002831545,0.002213773,0.001138454,0.008729695,0.03774487,0.5513527],"genre_scores_gemma":[0.03974377,0.00624994,0.2348069,0.001380221,0.0007010388,0.0002856018,0.01655867,0.002171707,0.6981022],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09381519,"threshold_uncertainty_score":0.3138431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600037641108487,"score_gpt":0.2485340736900088,"score_spread":0.2125336972789239,"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."}}