{"id":"W2400773430","doi":"10.5281/zenodo.3783236","title":"Capturing meta data on a different kind of data","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02931488,0.001050378,0.002771612,0.01429608,0.002120115,0.01313181,0.003451681,0.002172042,0.002737675],"category_scores_gemma":[0.06695353,0.001735558,0.002510416,0.02297184,0.002244314,0.01856494,0.006483891,0.006153724,0.001402452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002983944,"about_ca_system_score_gemma":0.004809481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033559,"about_ca_topic_score_gemma":0.01913225,"domain_scores_codex":[0.9727476,0.008218953,0.003779779,0.004557867,0.009896829,0.0007988804],"domain_scores_gemma":[0.8667091,0.04131874,0.00798872,0.06366819,0.01836899,0.001946363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009653435,0.0005467664,0.06769638,0.003596608,0.002354755,0.001283215,0.01091042,0.01751206,0.0239176,0.1855856,0.04313565,0.6424957],"study_design_scores_gemma":[0.0001623429,0.0004490997,0.04354588,0.003056188,0.001082238,0.002670237,0.009576084,0.0510658,0.03866316,0.2328053,0.6161895,0.0007341073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06583204,0.0067738,0.8562054,0.01385173,0.001455906,0.0007565001,0.03432526,0.005465671,0.01533374],"genre_scores_gemma":[0.2397969,0.003872467,0.7026733,0.001924783,0.0006601815,0.0005158266,0.04249725,0.001596415,0.006462925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02931488,"threshold_uncertainty_score":0.1550337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2130124426915704,"score_gpt":0.3111317827480674,"score_spread":0.098119340056497,"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."}}