{"id":"W7037094002","doi":"","title":"DEVELOPMENT OF A MULTIDIMENSIONAL FLUORESCENCE MICROSCOPE USING MULTIPOINT CONFOCAL SCANNING","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Multispectral image; Confocal; Photobleaching; Confocal microscopy; Microscope; Microscopy; Detector; Spectral imaging","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001043728,0.0004495909,0.0004616085,0.0007589947,0.0008885759,0.0007171801,0.00117459,0.0009912419,0.004245051],"category_scores_gemma":[0.0005403787,0.0006443243,0.000540523,0.0003735698,0.0004473197,0.001163427,0.001025975,0.001697158,0.002616372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004739257,"about_ca_system_score_gemma":0.001279661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310383,"about_ca_topic_score_gemma":0.002409046,"domain_scores_codex":[0.9994671,0.00003727469,0.00002972784,0.0001486056,0.0002726951,0.00004450886],"domain_scores_gemma":[0.999598,0.00006744152,0.00002249328,0.00007456756,0.0001755051,0.00006202442],"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":[0.00002601916,0.00003342278,0.0001945881,0.00008659377,0.000007252799,0.0001255161,0.00008770002,0.0005677342,0.9614831,0.002983718,0.0007406923,0.03366377],"study_design_scores_gemma":[0.00003325862,0.000309774,0.001465808,0.00004591611,0.00002304805,0.00152963,0.00006980237,0.01250877,0.9206396,0.00115927,0.06215106,0.00006406647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03515287,0.0005967132,0.9518493,0.0006445145,0.0002665596,0.0009266787,0.0003507285,0.002178144,0.008034406],"genre_scores_gemma":[0.02787988,0.0005252621,0.9661875,0.0001183002,0.00002216444,0.0005281367,0.0002473041,0.0001350939,0.004356381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004245051,"threshold_uncertainty_score":0.0142011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402233120506689,"score_gpt":0.2307387494296858,"score_spread":0.1905154373790169,"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."}}