{"id":"W2051353772","doi":"10.3791/50363","title":"A Novel High-resolution <em>In vivo</em> Imaging Technique to Study the Dynamic Response of Intracranial Structures to Tumor Growth and Therapeutics","year":2013,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre; Ontario Institute for Cancer Research; SickKids Foundation; Toronto Western Hospital; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Live cell imaging; Biomedical engineering; Pathology; Preclinical imaging; In vivo; Chemistry; Biology; Cell; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006816642,0.0002650192,0.0005764698,0.0004961861,0.00008838892,0.00007070957,0.000189478,0.00005245402,0.00007603422],"category_scores_gemma":[0.0001603783,0.0001686164,0.0001055883,0.0003391059,0.00004430554,0.0001585268,0.0001009539,0.0001721754,0.000002609583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147398,"about_ca_system_score_gemma":0.00007615591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605078,"about_ca_topic_score_gemma":0.00001968504,"domain_scores_codex":[0.9977798,0.0002627927,0.0007889802,0.0002376088,0.0006371988,0.0002935866],"domain_scores_gemma":[0.9987367,0.0001660713,0.0003707686,0.0002595349,0.0002616652,0.000205273],"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":[0.004049818,0.002224046,0.0034485,0.00001260459,0.0002801752,0.0001792521,0.005847845,0.000009599963,0.9825394,0.00006821434,0.00008742115,0.001253182],"study_design_scores_gemma":[0.01375893,0.004388742,0.3795483,0.0003338341,0.0002976001,0.0007413907,0.00454021,0.0003891821,0.5954126,0.0002513256,0.0000769085,0.0002609881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948996,0.0006063438,0.001433582,0.0009263958,0.0001544653,0.001949909,0.00001026098,0.00001280399,0.00000666775],"genre_scores_gemma":[0.9889185,0.00002998068,0.01019539,0.0005833306,0.00005798054,0.0001717485,8.455889e-7,0.00003631492,0.000005854116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871267,"threshold_uncertainty_score":0.6875978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697501546837508,"score_gpt":0.363525258420584,"score_spread":0.3465502429522089,"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."}}