{"id":"W4411096928","doi":"10.1007/978-981-96-2647-2_20","title":"Clustering of Data Using Analytics in Biotechnology Using Cluster Validation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cluster analysis; Analytics; Cluster (spacecraft); Data science; Data mining; Computer science; Data analysis; Computational biology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002708036,0.0002052708,0.0003560648,0.0002479977,0.00002838926,0.00002553463,0.0002380415,0.0009397953,0.000002610676],"category_scores_gemma":[0.0000362363,0.000198683,0.00003502408,0.00009637928,0.00005795648,0.000005194594,0.000329735,0.0002471783,6.039517e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004415608,"about_ca_system_score_gemma":0.0000730228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007857033,"about_ca_topic_score_gemma":0.0002151145,"domain_scores_codex":[0.9987365,0.00005064815,0.0004724149,0.0004945011,0.00008907139,0.0001568482],"domain_scores_gemma":[0.9989689,0.00003030781,0.0002817465,0.000653489,0.00004355762,0.00002199367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008026428,0.00001313265,0.001009262,0.0003498656,0.00006891786,0.000003196099,0.00002311327,0.9532923,0.03229003,0.0002104025,0.0001004896,0.01255905],"study_design_scores_gemma":[0.0003411165,0.00003019198,0.00001764729,0.001076633,0.00004565718,0.00001321235,0.000009804035,0.9915095,0.001267615,0.0001187662,0.005342743,0.0002271169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005381709,0.01235749,0.9801462,0.00005545465,0.0005609166,0.0004242761,0.00003531685,0.000007372111,0.001031292],"genre_scores_gemma":[0.9948203,0.001848961,0.001598185,0.00006282738,0.0003457843,0.000004067162,0.0004325747,0.00003448058,0.0008528437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894386,"threshold_uncertainty_score":0.8102056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05347200766124274,"score_gpt":0.3043928313785726,"score_spread":0.2509208237173299,"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."}}