{"id":"W2099604265","doi":"10.1021/jp052344n","title":"Determination of the Fe−CO Bond Energy in Myoglobin Using Heterodyne-Detected Transient Thermal Phase Grating Spectroscopy","year":2005,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry B","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Chemistry; Myoglobin; Relaxation (psychology); Ultrafast laser spectroscopy; Spectroscopy; Bond energy; Bond order; Chemical physics; Computational chemistry; Bond length; Physical chemistry; Crystallography; Molecule; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001994888,0.0002087913,0.0001441116,0.0002774704,0.000172993,0.0001990073,0.0002761479,0.0004283863,0.0003864801],"category_scores_gemma":[0.0004097246,0.0001728049,0.0001027741,0.0002082041,0.0003750896,0.00025389,0.0001945733,0.0003749228,0.00006575025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686597,"about_ca_system_score_gemma":0.0001476653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009816095,"about_ca_topic_score_gemma":0.001526817,"domain_scores_codex":[0.9999102,0.00001458085,0.000002521608,0.0000271632,0.00003388223,0.00001167865],"domain_scores_gemma":[0.9998916,0.00005329069,0.00002414914,0.000007700957,0.0000122321,0.00001088558],"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":[0.00003545426,0.00002067144,0.001048737,0.00002301089,0.000004838291,0.00002845162,0.00003627479,0.0007858255,0.9952134,0.0003384419,0.00002151407,0.002443284],"study_design_scores_gemma":[0.00001295074,0.0001450607,0.01246777,0.000007325625,0.00001184153,0.0001081845,0.00005134065,0.0326004,0.9538872,0.0003524678,0.0003444379,0.0000110036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895807,0.0002690107,0.009596229,0.00003785652,0.000004028763,0.00001227651,0.00005742791,0.0000273949,0.000415106],"genre_scores_gemma":[0.9941479,0.0002022715,0.005275321,0.00001567998,0.000002061872,0.00001406947,0.00004526338,0.000009183133,0.00028828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009816095,"threshold_uncertainty_score":0.002674818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006979895150227701,"score_gpt":0.2645380418734402,"score_spread":0.2575581467232125,"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."}}