{"id":"W4406261200","doi":"10.1109/qce60285.2024.00195","title":"Fermionic Machine Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.001970025,0.0006837313,0.0008499054,0.001323635,0.0006784361,0.001770514,0.001847722,0.001308919,0.006767085],"category_scores_gemma":[0.007737658,0.0002748498,0.0007995256,0.001075319,0.001621132,0.003083714,0.002436786,0.001809404,0.001419908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469089,"about_ca_system_score_gemma":0.001134037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427098,"about_ca_topic_score_gemma":0.001867233,"domain_scores_codex":[0.9987462,0.0005772908,0.00006361901,0.0002060071,0.0002997202,0.0001072729],"domain_scores_gemma":[0.9982406,0.0007864449,0.0001087532,0.0005556858,0.0002239086,0.00008450483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003746892,0.00005627327,0.0008388616,0.0001406737,0.00005288392,0.00006970611,0.00006961882,0.1143994,0.001125928,0.8036382,0.006964887,0.07260606],"study_design_scores_gemma":[0.000006915478,0.00001854485,0.0001027046,0.00002410992,0.000004806805,0.0000294598,0.000008882834,0.5618892,0.0004521833,0.4319865,0.005467196,0.000009478208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01131253,0.001085728,0.9726971,0.001476415,0.0001359626,0.00006664344,0.0005667577,0.0009944622,0.01166435],"genre_scores_gemma":[0.6088088,0.001490725,0.3742445,0.001772377,0.0004024733,0.0004864808,0.002055038,0.0003418837,0.01039775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006767085,"threshold_uncertainty_score":0.0226382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335630799362197,"score_gpt":0.2504201593100623,"score_spread":0.2370638513164403,"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."}}