{"id":"W4404729960","doi":"10.1145/3686397.3686411","title":"iHSPRec: Image Enhanced Historical Sequential Pattern Recommendation","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Image (mathematics); Artificial intelligence; Computer vision; Information retrieval","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":[0.0004961237,0.0009731218,0.001175604,0.002138523,0.0004396174,0.0006937456,0.001402721,0.000743366,0.01300405],"category_scores_gemma":[0.001437837,0.0003900182,0.0008355686,0.002132999,0.000174829,0.0009094796,0.0006805044,0.0007910716,0.004745479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003539702,"about_ca_system_score_gemma":0.00093928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469034,"about_ca_topic_score_gemma":0.02627043,"domain_scores_codex":[0.9995446,0.00004387993,0.00002736198,0.0001066404,0.0002291662,0.00004830393],"domain_scores_gemma":[0.9994113,0.00008969041,0.00002623166,0.000244002,0.0001837597,0.0000450625],"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":[0.001045545,0.0003896054,0.00225923,0.0001978211,0.0002014016,0.0002441917,0.0000280193,0.008824972,0.01975341,0.001090325,0.0905202,0.8754451],"study_design_scores_gemma":[0.0004099082,0.0007311405,0.006161775,0.00003064517,0.0001814928,0.001138369,0.00005867262,0.8824056,0.03631207,0.004592348,0.06788611,0.00009180379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06699109,0.004030919,0.8179776,0.0005139419,0.001077585,0.0009016345,0.01731179,0.08003954,0.0111559],"genre_scores_gemma":[0.1655032,0.001065125,0.7684819,0.000425553,0.0003279304,0.000418015,0.03055217,0.001046475,0.03217963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01469034,"threshold_uncertainty_score":0.04350293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356295276577371,"score_gpt":0.2856333248039211,"score_spread":0.2620703720381474,"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."}}