{"id":"W2150130915","doi":"10.1098/rsta.2005.1735","title":"Femtosecond electron diffraction: ‘making the molecular movie’","year":2006,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtosecond; Electron diffraction; Electron; Materials science; Characterization (materials science); Diffraction; Nucleation; Atomic units; Context (archaeology); Lattice (music); Chemical physics; Laser; Optics; Physics; Nanotechnology; Thermodynamics","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":[0.0001507841,0.0001763033,0.0002097594,0.00001465855,0.0003032803,0.00005586141,0.000277638,0.00007116086,0.00002201249],"category_scores_gemma":[0.00001436562,0.0001016596,0.000273728,0.0003284322,0.0003430734,0.000101263,0.00001547392,0.0004307131,0.000004482332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002693852,"about_ca_system_score_gemma":0.00001043393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005484111,"about_ca_topic_score_gemma":5.273853e-7,"domain_scores_codex":[0.9990277,0.00001765094,0.0001994558,0.000170961,0.0003020795,0.0002821237],"domain_scores_gemma":[0.9994671,0.0002787829,0.00002753976,0.0001663771,0.00001412189,0.0000460161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003559105,0.0001648613,0.000005231736,0.0002369767,0.00007817268,5.248606e-7,0.0002182472,0.7868994,0.03139503,0.1807683,0.00004836437,0.0001813028],"study_design_scores_gemma":[0.0001044007,0.00004889796,0.0003192922,0.00005910105,0.00006493067,0.000007077027,0.00002080984,0.7922472,0.02464746,0.1822242,0.00008276336,0.0001738711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045836,0.0002022774,0.08873717,0.003147879,0.0001565024,0.0001925366,0.000009710273,0.0001788457,0.002791489],"genre_scores_gemma":[0.9986766,0.000006244236,0.001074454,0.00003480645,0.0001506437,0.00001962454,3.115532e-7,0.00001441712,0.00002288495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09409303,"threshold_uncertainty_score":0.414556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008703273184531861,"score_gpt":0.2189748427619945,"score_spread":0.2102715695774626,"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."}}