{"id":"W3108312952","doi":"10.1126/science.abc2960","title":"Capturing roaming molecular fragments in real time","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; CAE (Canada); University of Ottawa; Institut National de la Recherche Scientifique","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Roaming; Dissociation (chemistry); Chemical physics; Chemistry; Coulomb explosion; Molecule; Nanotechnology; Computer science; Materials science; Physical chemistry; Ionization; Ion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001348715,0.00007422651,0.00007306207,0.00001855323,0.00009242942,0.00005770005,0.0004492152,0.00002578874,0.0002646677],"category_scores_gemma":[0.0001334818,0.00007814698,0.00001599076,0.0003213192,0.00011266,0.0002415923,0.0001170012,0.0001202611,0.00002606137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007263028,"about_ca_system_score_gemma":0.00007921964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007978773,"about_ca_topic_score_gemma":2.229585e-7,"domain_scores_codex":[0.9990665,0.000003444423,0.0001092761,0.0003051568,0.0002707102,0.0002449244],"domain_scores_gemma":[0.9996789,0.00001175329,0.00004089022,0.0001465367,0.00001834188,0.0001036423],"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":[0.000004195203,0.000007143542,0.002579329,0.00003330233,0.000001308946,0.00002347227,0.0004198432,0.0001063238,0.9953841,0.000007917985,0.000005860491,0.001427177],"study_design_scores_gemma":[0.0001387736,0.00000294788,0.0003182029,0.0000387505,0.000001805267,0.000001754472,0.0001343118,0.00374401,0.9952093,0.0001056768,0.000206455,0.0000979829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9257985,0.00005107838,0.00004900835,0.000238793,0.00001215026,0.00001392506,0.000001301783,0.00003742431,0.07379777],"genre_scores_gemma":[0.9989936,0.000003384841,0.0007138593,0.00009760533,0.00004566734,0.000002437745,0.000001646461,0.000005225424,0.0001366177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07366115,"threshold_uncertainty_score":0.3186741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139373755970434,"score_gpt":0.2562222616279828,"score_spread":0.2422848860309395,"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."}}