{"id":"W2281226922","doi":"10.4271/2000-01-2378","title":"MELISSA: 10 years of Research, Results, Status and Perspectives","year":2000,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.005591083,0.001014402,0.001100129,0.002935973,0.001372812,0.008086066,0.001625309,0.002230409,0.01523905],"category_scores_gemma":[0.006057772,0.0003166735,0.000698049,0.00513007,0.002377222,0.006439552,0.003329008,0.002236777,0.004735742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003488069,"about_ca_system_score_gemma":0.005410458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007600476,"about_ca_topic_score_gemma":0.01444852,"domain_scores_codex":[0.9980581,0.0006537653,0.0001441486,0.0002917992,0.0004879639,0.000364169],"domain_scores_gemma":[0.9951751,0.001969313,0.0003876793,0.0003371025,0.001316365,0.0008143217],"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":[0.0006302804,0.0003321713,0.00326108,0.00691329,0.00009302356,0.0003771642,0.002260593,0.0002409267,0.001266813,0.02875371,0.1510746,0.8047963],"study_design_scores_gemma":[0.0000151243,0.000166583,0.003244824,0.005480372,0.0000318174,0.0002872856,0.002365243,0.00008558522,0.0004896983,0.003318857,0.9844874,0.00002726579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005835801,0.9334563,0.0007128185,0.02686686,0.00377852,0.00003085138,0.000389544,0.0001136173,0.02881574],"genre_scores_gemma":[0.05397845,0.8866686,0.00312494,0.01347472,0.003766756,0.0001161777,0.001184081,0.0001909912,0.03749531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01523905,"threshold_uncertainty_score":0.05097973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179340400112043,"score_gpt":0.3092641158016227,"score_spread":0.2913300757904184,"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."}}