{"id":"W7072010801","doi":"","title":"Visualization and grading of regional ischemia in pig hearts in vivo using near-infrared and thermal imaging","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Grading (engineering); Ischemia; In vivo; Medical imaging","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":[0.001040235,0.0004088109,0.0002917069,0.0006036124,0.0001945889,0.0004365534,0.0002958863,0.0005109648,0.001176375],"category_scores_gemma":[0.000465654,0.0003447986,0.0002893867,0.0002016267,0.0004804582,0.001073722,0.0002034846,0.0007864835,0.0002299873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209077,"about_ca_system_score_gemma":0.0002145888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000375894,"about_ca_topic_score_gemma":0.0005648352,"domain_scores_codex":[0.9998746,0.00003368292,0.000009440596,0.00003287158,0.00002738363,0.00002202263],"domain_scores_gemma":[0.9996794,0.00009433315,0.00009692596,0.00004197901,0.00003996298,0.00004739755],"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":[0.001215914,0.0001169081,0.0006934502,0.000122053,0.00001571363,0.0001314224,0.00006927904,0.0001620033,0.9882194,0.0002878067,0.0001170859,0.008849094],"study_design_scores_gemma":[0.000178835,0.00531831,0.03327131,0.00008758098,0.0001767628,0.001566625,0.0001699961,0.006512728,0.9499667,0.0005052199,0.002196745,0.00004919266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211495,0.006047864,0.06507555,0.0003922043,0.0002500335,0.0002484022,0.0002474309,0.0002988671,0.006290196],"genre_scores_gemma":[0.9345843,0.004154875,0.05411011,0.0001820035,0.0001086882,0.000136213,0.0002782802,0.00008606187,0.006359491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001176375,"threshold_uncertainty_score":0.00550133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667233395794232,"score_gpt":0.2963298608710689,"score_spread":0.2796575269131266,"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."}}