{"id":"W2159217040","doi":"10.1017/s1431927608082974","title":"Lights, Action, Camera: Making Movies of Molecules (and Materials) with Femtosecond Electron Diffraction","year":2008,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Femtosecond; Microanalysis; Action (physics); Materials science; Diffraction; Molecule; Microscopy; Electron microscope; Electron probe microanalysis; Optics; Crystallography; Scanning electron microscope; Chemistry; Physics; Laser; Organic chemistry","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":[0.0001798146,0.0002553543,0.0004892611,0.0002189662,0.0003499846,0.00008817694,0.0001198984,0.0001004886,0.0001640053],"category_scores_gemma":[0.000009276878,0.0002048911,0.00005319342,0.0002383094,0.0003304719,0.0002702289,0.00004588517,0.0001211673,0.000005416091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005122183,"about_ca_system_score_gemma":0.00004943688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832048,"about_ca_topic_score_gemma":0.0002565298,"domain_scores_codex":[0.9986167,0.00008407979,0.0003492005,0.0004507651,0.000146223,0.0003530205],"domain_scores_gemma":[0.9993099,0.00003003853,0.0002768275,0.0002407178,0.00008707941,0.00005542087],"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":[0.0001876569,0.00005252472,0.001055467,0.00005992964,0.00006954819,0.000005907384,0.000370327,0.000001099671,0.997648,0.0002314587,0.0001730407,0.0001450503],"study_design_scores_gemma":[0.0002503815,0.0002460669,0.002598225,0.0000457664,0.0001716832,0.0001338368,0.0001280221,0.00000555143,0.9951574,0.0001420787,0.0008883909,0.0002326553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935181,0.002175692,0.003774576,0.0001014481,0.0000368128,0.0001467717,0.00002293043,0.00008445139,0.0001392725],"genre_scores_gemma":[0.987673,0.00249026,0.009211412,0.0001071768,0.00003867217,0.00001918509,0.0000160356,0.00002565873,0.0004185687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005845013,"threshold_uncertainty_score":0.8355218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009706798639613169,"score_gpt":0.2710796163332589,"score_spread":0.2613728176936458,"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."}}