{"id":"W1579653042","doi":"","title":"Bevacizumab Binding to Human Sclera Post Topical Application","year":2006,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Sclera; Bevacizumab; Ophthalmology; Computer science; Medicine; Internal medicine; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002400613,0.0002376468,0.0003608175,0.0003179025,0.000424107,0.0003955401,0.000333038,0.0004844079,0.006824993],"category_scores_gemma":[0.0004840114,0.0002445933,0.0005068207,0.0002500623,0.0002537595,0.0001851445,0.0001524677,0.000568165,0.001054971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006443645,"about_ca_system_score_gemma":0.0006229054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574137,"about_ca_topic_score_gemma":0.01835353,"domain_scores_codex":[0.9995546,0.00008409806,0.00001739495,0.00006748054,0.00008387859,0.0001925123],"domain_scores_gemma":[0.9997348,0.0001426216,0.00002363918,0.00002469561,0.00003768958,0.00003662907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001959406,0.0001634925,0.0007435497,0.0001734046,0.00005108682,0.0002707159,0.0001082433,0.0002583386,0.9909797,0.0002487213,0.0008076577,0.004235787],"study_design_scores_gemma":[0.00009145366,0.001305452,0.02249998,0.00003955714,0.00007088618,0.0005694911,0.0001309768,0.003230305,0.9631158,0.0001212885,0.00879714,0.00002773945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763259,0.007359447,0.002571378,0.0002818134,0.0001678835,0.00006207336,0.0006174531,0.00006113462,0.01255302],"genre_scores_gemma":[0.9786056,0.001482536,0.001646269,0.0001943359,0.00004200717,0.00002906861,0.001635326,0.00002853363,0.0163363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574137,"threshold_uncertainty_score":0.03129953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476401406002368,"score_gpt":0.3489610323608452,"score_spread":0.3141970183008216,"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."}}