{"id":"W2776614206","doi":"","title":"Applying the tools of coherent control to explore molecular continua","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control (management); Coherent control; Computer science; Physics; Artificial intelligence; Optics; Laser","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007573398,0.00034998,0.0003898168,0.0006857034,0.0006286917,0.001205623,0.0007698382,0.0005312898,0.003129922],"category_scores_gemma":[0.002727723,0.0003140742,0.0004120022,0.0005239572,0.001726554,0.001771735,0.001528083,0.001590593,0.0002813272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539876,"about_ca_system_score_gemma":0.0005164714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114344,"about_ca_topic_score_gemma":0.001384093,"domain_scores_codex":[0.9997738,0.00005373961,0.000006675523,0.00004505765,0.00009543337,0.00002525414],"domain_scores_gemma":[0.9992597,0.0004896269,0.00005300527,0.00009667676,0.00005497487,0.0000459496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001555645,0.00009241439,0.0007315131,0.000139934,0.00007801087,0.0001015586,0.0002439357,0.06138123,0.0634777,0.7459777,0.002447309,0.1251732],"study_design_scores_gemma":[0.00007281141,0.00008125907,0.0004480839,0.00003169123,0.00002238803,0.00005528286,0.00004690623,0.6426652,0.01876376,0.3285441,0.009200684,0.0000678611],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02582983,0.0008709808,0.9510853,0.0007592032,0.0002406671,0.00005798551,0.00006815787,0.0004968045,0.02059096],"genre_scores_gemma":[0.6715112,0.001318385,0.3184903,0.000441114,0.0002002535,0.0002241403,0.0001147416,0.0003552547,0.007344652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003129922,"threshold_uncertainty_score":0.01047063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455101985198328,"score_gpt":0.2676611032041257,"score_spread":0.2331100833521424,"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."}}