{"id":"W2955833940","doi":"10.1117/12.2523459","title":"Graduate programs in biophotonics: unique transdisciplinary training in applied photonics for the life sciences","year":2019,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biophotonics; Multidisciplinary approach; Graduate students; Photonics; Biological sciences; Variety (cybernetics); Training (meteorology); Engineering ethics; Engineering physics; Medical education; Engineering; Physics; Computer science; Medicine; Sociology; Biology; Biotechnology; Artificial intelligence; Optoelectronics; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008052186,0.001404597,0.0009237741,0.002317819,0.005368967,0.005323503,0.001979191,0.002315187,0.03060897],"category_scores_gemma":[0.004387258,0.000560139,0.0009510466,0.001350188,0.00349,0.001610265,0.01237994,0.005885336,0.01257509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006710433,"about_ca_system_score_gemma":0.02781631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007636932,"about_ca_topic_score_gemma":0.02183427,"domain_scores_codex":[0.9947961,0.001145782,0.0001275987,0.000599637,0.001770146,0.001560706],"domain_scores_gemma":[0.978937,0.0005660448,0.0004493101,0.0006223251,0.003064301,0.01636113],"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":[0.0003871821,0.002068532,0.01373302,0.0007948493,0.00003754326,0.0006695613,0.009963259,0.0006648885,0.0205052,0.06110005,0.4513148,0.4387611],"study_design_scores_gemma":[0.00004501947,0.0006526941,0.01596472,0.0003302503,0.000009011727,0.0008673928,0.00300992,0.0003530437,0.003202604,0.00650095,0.9690149,0.00004959969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1617196,0.04485464,0.05303395,0.2519676,0.03327013,0.002389642,0.003174506,0.004170951,0.445419],"genre_scores_gemma":[0.2944389,0.01511255,0.06415735,0.03137553,0.008038683,0.001240741,0.002450187,0.001678573,0.5815076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03060897,"threshold_uncertainty_score":0.1023973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0839153186605373,"score_gpt":0.3228934243451307,"score_spread":0.2389781056845934,"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."}}