{"id":"W2019949273","doi":"10.1021/ja0715905","title":"A Molecular Thermometer Based on Fluorescent Protein Blinking","year":2007,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Microfluidics; Miniaturization; Laser power scaling; Fluorescence; Laser; Analytical Chemistry (journal); Thermometer; Fluorescence correlation spectroscopy; Laser-induced fluorescence; Biological system; Nanotechnology; Molecule; Thermodynamics; Chromatography; Optics; Organic chemistry; Materials science","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":[0.001031301,0.0006581656,0.00073364,0.001268634,0.0005124,0.0009761122,0.001235193,0.001220388,0.001694713],"category_scores_gemma":[0.002431557,0.000466592,0.0004090623,0.0009138061,0.0008315508,0.001494829,0.0007149476,0.001843315,0.0008215479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009934537,"about_ca_system_score_gemma":0.0005837198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003579289,"about_ca_topic_score_gemma":0.0002882927,"domain_scores_codex":[0.9988274,0.0001927816,0.00006662017,0.0003873686,0.0004655712,0.00006014695],"domain_scores_gemma":[0.9987759,0.0005425678,0.0001979385,0.0001776179,0.0002084888,0.00009757833],"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":[0.00008961072,0.00004357177,0.0003736918,0.00008963191,0.00001107195,0.00002898022,0.00004166125,0.0005161971,0.9849908,0.00175628,0.0002782848,0.01178031],"study_design_scores_gemma":[0.00001880153,0.0001957067,0.001181889,0.00002026555,0.00002577052,0.0002748989,0.00001235422,0.01823787,0.9737631,0.000653016,0.00556933,0.0000469554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2715126,0.003397514,0.7099217,0.0007603389,0.0007762064,0.0004176071,0.001852787,0.006184339,0.005176923],"genre_scores_gemma":[0.6265917,0.002184507,0.3637506,0.0004709835,0.0002237442,0.0005952708,0.0007383768,0.0003042913,0.005140653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001694713,"threshold_uncertainty_score":0.007208109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142389260972195,"score_gpt":0.2462207607770522,"score_spread":0.23807837151608,"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."}}