{"id":"W4392080765","doi":"10.53555/sfs.v10i2.2136","title":"How To Correct Vision In Strabismic Children","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Strabismus; Mobile phone; Meaning (existential); Phone; Optometry; Psychology; Computer science; Medicine; Telecommunications; Psychotherapist; Ophthalmology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007528874,0.00006912557,0.0002752716,0.0007323094,0.00007618296,0.00005426133,0.0002208827,0.00006820149,0.00004148045],"category_scores_gemma":[0.00175965,0.00004936098,0.00003295899,0.002294804,0.0002400921,0.000292271,0.00005073823,0.0003725215,0.00001309615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006357362,"about_ca_system_score_gemma":0.0003871562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238868,"about_ca_topic_score_gemma":0.0008097144,"domain_scores_codex":[0.9983445,0.0003544702,0.0003236778,0.0001454836,0.0004896329,0.0003421829],"domain_scores_gemma":[0.9991612,0.0004064543,0.00009114874,0.00007405902,0.0001171964,0.0001499641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002816699,0.00006401307,0.9928532,0.00001760147,0.000002655367,0.0001324199,0.0002460108,0.00002390243,0.0001500842,0.000002380555,0.002614839,0.00361122],"study_design_scores_gemma":[0.0004070574,0.002545145,0.9958886,0.0001681024,0.000001054842,0.0002179868,0.0003890292,0.0000360052,0.0001142901,0.00007400848,0.0001125249,0.00004617827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902836,0.0001004222,0.000003212961,0.008821114,0.0003878262,0.0001489221,0.000003398635,0.000005369556,0.0002461283],"genre_scores_gemma":[0.9991465,0.0001205433,0.00009334179,0.0001352542,0.00006101967,0.000001714155,0.000001734785,0.000004132185,0.0004357636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00886289,"threshold_uncertainty_score":0.2609372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4134208402947356,"score_gpt":0.4849837604885888,"score_spread":0.07156292019385313,"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."}}