{"id":"W4414527163","doi":"10.1007/978-3-031-94551-9_10","title":"Polarization-Resolved Second Harmonic Generation Microscopy for Cancer Diagnosis","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in nanoscale science and technology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Second-harmonic generation; Microscopy; Laser; Polarization (electrochemistry); Ultrastructure; High harmonic generation; Multiphoton fluorescence microscope","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":[0.0002240794,0.0003756948,0.0003018685,0.0003507421,0.0001978981,0.000544908,0.0007265076,0.0007040004,0.006574855],"category_scores_gemma":[0.0001186525,0.0003076551,0.0002227774,0.0004813927,0.000399098,0.0008529693,0.0006344552,0.0009379314,0.002564434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645199,"about_ca_system_score_gemma":0.0002563403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002445572,"about_ca_topic_score_gemma":0.0008363884,"domain_scores_codex":[0.9998728,0.00001122133,0.000001983124,0.00001723162,0.00008388521,0.00001274913],"domain_scores_gemma":[0.9999535,0.00002245234,0.000003442587,0.000005588105,0.00001164144,0.000003267923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009618863,0.00004768622,0.0001375105,0.000378209,0.0000201914,0.0001045086,0.0001045128,0.002423701,0.6749141,0.02975779,0.02162514,0.2703904],"study_design_scores_gemma":[0.00002652797,0.0002021374,0.001296478,0.0001108996,0.00003550343,0.001457095,0.0001050125,0.05425436,0.5551317,0.03127594,0.3560521,0.00005222648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04226544,0.07687022,0.6991667,0.003539526,0.001708466,0.0002001422,0.0006232043,0.002372458,0.1732539],"genre_scores_gemma":[0.2602955,0.0809411,0.354653,0.001853559,0.0009688511,0.0002434075,0.001055274,0.0006219872,0.2993674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006574855,"threshold_uncertainty_score":0.02199513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009211599604837004,"score_gpt":0.2829957303643109,"score_spread":0.2737841307594738,"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."}}