{"id":"W2913374744","doi":"10.1016/j.bpj.2018.11.2370","title":"An Inexpensive Module for High-Content iSPIM","year":2019,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Light sheet fluorescence microscopy; Microscope; Confocal; Microscopy; Optical sectioning; Confocal microscopy; Materials science; Optics; Optical microscope; Laser scanning; Confocal laser scanning microscopy; Confocal laser scanning microscope; Laser; Scanning confocal electron microscopy; Scanning electron microscope; Biomedical engineering; Physics","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":[0.0004540992,0.001576104,0.0006464848,0.001300669,0.0004823251,0.001190494,0.002824126,0.0005834728,0.1392042],"category_scores_gemma":[0.002252909,0.0007577333,0.0006579733,0.001231565,0.000212404,0.001557759,0.002089498,0.000830066,0.05150894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972298,"about_ca_system_score_gemma":0.0009517242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003387785,"about_ca_topic_score_gemma":0.00378891,"domain_scores_codex":[0.9995806,0.00002821652,0.00002709067,0.0001016259,0.0001884911,0.00007400695],"domain_scores_gemma":[0.9988407,0.0002037846,0.00005557848,0.0004401941,0.0003505475,0.0001091931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001205658,0.000358698,0.007404121,0.0006169403,0.0002245848,0.0004651584,0.0002950566,0.006321467,0.04632121,0.007405802,0.3982836,0.5310977],"study_design_scores_gemma":[0.0004078719,0.0002263776,0.01073314,0.000130666,0.0002822976,0.001039536,0.0002136657,0.1813709,0.2495819,0.01033106,0.5454608,0.0002219469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01653195,0.0002079627,0.4390922,0.0002495311,0.0003384987,0.0004626515,0.01487193,0.4812598,0.04698557],"genre_scores_gemma":[0.285571,0.000457704,0.4619195,0.001446101,0.0004558496,0.00169061,0.06680838,0.07051848,0.1111324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1392042,"threshold_uncertainty_score":0.4656844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246527140270813,"score_gpt":0.2305148780303808,"score_spread":0.1980496066276727,"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."}}