{"id":"W2602894607","doi":"","title":"Multi-dimensional Ratings for Research Paper Recommender Systems: A Qualitative Study","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Recommender system; Computer science; Qualitative research; Data science; Information retrieval; Artificial intelligence; Sociology","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04499372,0.000288498,0.0008558375,0.002166372,0.005808697,0.007152606,0.001443363,0.002242656,0.004937221],"category_scores_gemma":[0.1418187,0.0004886723,0.0004166021,0.00231811,0.003806271,0.005710855,0.003625423,0.003626395,0.000862134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003770044,"about_ca_system_score_gemma":0.002881985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637988,"about_ca_topic_score_gemma":0.006166958,"domain_scores_codex":[0.945128,0.04553938,0.00150324,0.001591245,0.005256071,0.0009821341],"domain_scores_gemma":[0.6676092,0.2926199,0.01132696,0.005264547,0.01706167,0.006117755],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009376708,0.0001579504,0.02075388,0.0007471078,0.0000358972,0.0006776524,0.9432983,0.00006651181,0.001038564,0.004666778,0.002922253,0.02554125],"study_design_scores_gemma":[0.00002771778,0.0002269324,0.01519167,0.0004690245,0.00003724212,0.0008578467,0.9453181,0.0005515597,0.0005580419,0.001409598,0.03528096,0.00007146913],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471796,0.002833354,0.01065814,0.008707206,0.0002236542,0.0004240844,0.0004174841,0.00006305473,0.02949344],"genre_scores_gemma":[0.9918257,0.000778073,0.002627218,0.0008918844,0.00005294596,0.0002013044,0.0000754767,0.00004360032,0.003503767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928474,"threshold_uncertainty_score":0.2379524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422951111323976,"score_gpt":0.3913246803867984,"score_spread":0.2490295692544007,"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."}}