{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001387771,0.0001495632,0.00015839,0.0001564018,0.0002250626,0.0004576949,0.0004522302,0.0003438704,0.001646731],"category_scores_gemma":[0.0003240139,0.0001456504,0.00008801364,0.0001564083,0.0004438355,0.0004878557,0.0003473723,0.0005257828,0.0002036606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729525,"about_ca_system_score_gemma":0.0002208162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008340469,"about_ca_topic_score_gemma":0.001448803,"domain_scores_codex":[0.9999263,0.000004767947,0.000001242022,0.00002627806,0.00002195124,0.00001946533],"domain_scores_gemma":[0.9998823,0.00003892689,0.00002549273,0.00002407933,0.00001300231,0.00001615627],"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":[0.0001972009,0.00005971685,0.001574187,0.00009117655,0.00001998537,0.0003248271,0.0003187009,0.00676652,0.9638232,0.008136667,0.0004306764,0.01825727],"study_design_scores_gemma":[0.00002229657,0.0002370322,0.005566722,0.00001340012,0.00002416331,0.0003913512,0.0002696642,0.1180023,0.8669869,0.002058645,0.006389176,0.00003828783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949708,0.000288538,0.04450196,0.0001108406,0.00003571247,0.00002551221,0.0001000623,0.0002666384,0.004962699],"genre_scores_gemma":[0.9902417,0.0001230187,0.008380077,0.0000329766,0.00000511342,0.00001338104,0.00005281671,0.00002680247,0.0011241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001646731,"threshold_uncertainty_score":0.00550884,"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."}}