{"id":"W2104147964","doi":"10.1038/nchem.1505","title":"Real-time and in situ monitoring of mechanochemical milling reactions","year":2012,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Crystallography and molecular interactions","field":"Chemistry","cited_by":610,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Engineering and Physical Sciences Research Council; Centre in Green Chemistry and Catalysis; McGill University","keywords":"Mechanochemistry; Mechanosynthesis; Chemistry; Ball mill; Synchrotron; Nanotechnology; Catalysis; Synchrotron radiation; Metal-organic framework; Chemical reaction; Chemical engineering; Ionic liquid; Process engineering; Organic chemistry; Materials science; Adsorption","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":[0.0001775757,0.0002388834,0.0002547758,0.0002985462,0.000203126,0.0004779671,0.0004801367,0.0004718605,0.001718525],"category_scores_gemma":[0.0003027638,0.0002199349,0.0001046754,0.0003457452,0.0003059726,0.0005460219,0.0002439403,0.0005467802,0.0002630391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026443,"about_ca_system_score_gemma":0.0001374813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002149021,"about_ca_topic_score_gemma":0.0006301582,"domain_scores_codex":[0.9997967,0.00001661808,0.000007133999,0.00006272255,0.00007916384,0.00003766888],"domain_scores_gemma":[0.9997291,0.0001060337,0.00007820574,0.00002579744,0.00003016452,0.0000306973],"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":[0.0001465984,0.00002920738,0.0003381523,0.00003056459,0.00000450474,0.00002433289,0.00002272912,0.0001312351,0.9949987,0.0001279333,0.0000986508,0.00404742],"study_design_scores_gemma":[0.0000108602,0.00007168533,0.002803227,0.000001935535,0.00000505254,0.00005450403,0.00002386611,0.003540841,0.9926004,0.0001052596,0.0007758658,0.000006491599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714832,0.0009823559,0.02315701,0.0002165652,0.0001061864,0.00003207389,0.0005449032,0.0003632406,0.003114513],"genre_scores_gemma":[0.9872044,0.000454104,0.01002025,0.00006579328,0.00003791709,0.00003972714,0.0002020499,0.00003590023,0.001939881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001718525,"threshold_uncertainty_score":0.005749047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006277957708641487,"score_gpt":0.2553665291405254,"score_spread":0.2490885714318839,"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."}}