{"id":"W2617866894","doi":"","title":"High-Throughput Screening for Novel Anti-cancer Radiosensitizers for Head and Neck Cancer","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Head and neck cancer; Throughput; Head and neck; Cancer; Medicine; Oncology; Cancer research; Medical physics; Internal medicine; Computer science; Surgery; Telecommunications","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":[0.0006535897,0.0007100608,0.0009447208,0.0008266097,0.0003316338,0.000547269,0.0004867423,0.0004622315,0.001397127],"category_scores_gemma":[0.0003983591,0.0002911396,0.0006927387,0.0007777102,0.0002168312,0.0002821519,0.0003458704,0.0005480907,0.0006567332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093649,"about_ca_system_score_gemma":0.0004528594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007962263,"about_ca_topic_score_gemma":0.002916736,"domain_scores_codex":[0.9996693,0.00005180846,0.00003094543,0.00005526903,0.0001601106,0.00003248857],"domain_scores_gemma":[0.9998435,0.00005345007,0.00002138446,0.00001367343,0.00004775991,0.00002022567],"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":[0.0001048337,0.000198794,0.0002785579,0.0003378171,0.00003186546,0.00009824101,0.00003593135,0.000656681,0.9901901,0.00009778496,0.0004046624,0.00756481],"study_design_scores_gemma":[0.00004974863,0.001519348,0.002680305,0.00002506146,0.0001146825,0.0001868343,0.00005018655,0.00310981,0.9850748,0.00007487051,0.007091651,0.00002275882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312972,0.01384674,0.03571057,0.0004672533,0.000180908,0.002265567,0.009126573,0.001250923,0.005854267],"genre_scores_gemma":[0.9063469,0.0127993,0.0570815,0.0003065494,0.00006931362,0.001454512,0.01354337,0.0001599885,0.008238561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001397127,"threshold_uncertainty_score":0.004673898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901848460900611,"score_gpt":0.3406613926422612,"score_spread":0.3116429080332551,"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."}}