{"id":"W7031759486","doi":"","title":"Belgium","year":2018,"lang":"en","type":"other","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; International law; Intellectual property; Foreign policy; Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006356406,0.001270842,0.0007526324,0.002240834,0.002019501,0.008469592,0.0009516203,0.00215769,0.4575987],"category_scores_gemma":[0.002016766,0.0004117384,0.0005572378,0.002804885,0.001018023,0.003817042,0.002938502,0.001860281,0.2712426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003061683,"about_ca_system_score_gemma":0.002194285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009510189,"about_ca_topic_score_gemma":0.008826623,"domain_scores_codex":[0.9987,0.0001827526,0.00009357326,0.0003956777,0.0004530056,0.0001748946],"domain_scores_gemma":[0.9995,0.00009053545,0.00005544051,0.0001108645,0.0001578158,0.00008522646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001454711,0.00006907729,0.0008879097,0.0006307635,0.00002252527,0.0005731817,0.0008751224,0.0006183989,0.001457898,0.204981,0.4825846,0.307154],"study_design_scores_gemma":[0.000003655116,0.000004489148,0.0002178885,0.00007487781,0.000001791705,0.0001481803,0.0000799417,0.00005155083,0.0001879387,0.002714924,0.9965108,0.000003975769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001843976,0.005324949,0.00220014,0.002440299,0.001480547,0.00003940977,0.003007307,0.0008152654,0.9828482],"genre_scores_gemma":[0.01735851,0.004700723,0.002806957,0.0008540543,0.0002881524,0.00006734293,0.002835464,0.0008944657,0.9701945],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4575987,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037461174326014,"score_gpt":0.1966075233754063,"score_spread":0.1862329116321461,"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."}}