{"id":"W2117756700","doi":"10.1142/s1793545808000236","title":"<i>IN VIVO</i> MAPPING BRAIN MICROCIRCULATION BY LASER SPECKLE CONTRAST IMAGING: A MAGNETIC RESONANCE PERSPECTIVE OF THEORETICAL FRAMEWORK","year":2008,"lang":"en","type":"article","venue":"Journal of Innovative Optical Health Sciences","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Speckle pattern; Magnetic resonance imaging; Neuroimaging; Functional magnetic resonance imaging; Perspective (graphical); Microcirculation; Computer science; Contrast (vision); Neuroscience; Artificial intelligence; Psychology; Medicine; Radiology","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":[0.0008233673,0.0004582882,0.0005246781,0.0008291475,0.0003906599,0.001593006,0.0009251698,0.001661955,0.001714779],"category_scores_gemma":[0.0009926916,0.0002657084,0.0004359536,0.0004337382,0.00346886,0.001761569,0.0006251846,0.001122167,0.0005411023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008330025,"about_ca_system_score_gemma":0.0005332037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009538,"about_ca_topic_score_gemma":0.0005535239,"domain_scores_codex":[0.999719,0.000114794,0.00001681083,0.00005235432,0.00007516975,0.00002190339],"domain_scores_gemma":[0.9995494,0.0002825782,0.00004830195,0.00004971143,0.00005809328,0.00001182696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009718289,0.000021791,0.0001522528,0.0002356222,0.00001164331,0.0001104747,0.00008281069,0.02082706,0.00897594,0.9577286,0.001585374,0.01025865],"study_design_scores_gemma":[0.000006246265,0.00006974012,0.000345764,0.0001098385,0.00001759345,0.0004567808,0.00008535568,0.2488839,0.008789768,0.715588,0.02559836,0.0000486573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003546261,0.008154554,0.9672126,0.004900316,0.0002824834,0.00002289165,0.00009050972,0.0001251258,0.01566531],"genre_scores_gemma":[0.472506,0.04434884,0.4620709,0.003326699,0.002865604,0.0003830393,0.0002169965,0.0002139873,0.01406798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001714779,"threshold_uncertainty_score":0.006043911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511659605678826,"score_gpt":0.345448947308312,"score_spread":0.3203323512515238,"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."}}