{"id":"W3106616223","doi":"","title":"Predictive factors for 12 months axial growth with customized orthokeratology (3MOD)","year":2020,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Orthokeratology; Optometry; Ophthalmology; Medicine; Cornea","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":[0.0004375786,0.0004633212,0.0002236502,0.0005981093,0.0003250079,0.0005897903,0.0004404217,0.0006399811,0.004176179],"category_scores_gemma":[0.002873024,0.0001412382,0.0008588061,0.0009650803,0.0002996335,0.0005209876,0.0004186397,0.001003956,0.0004967956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004024217,"about_ca_system_score_gemma":0.0008837509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005873043,"about_ca_topic_score_gemma":0.0071806,"domain_scores_codex":[0.9995808,0.00006069254,0.00004576666,0.00007400972,0.0001301076,0.0001086712],"domain_scores_gemma":[0.9978236,0.0004905027,0.0008735746,0.0001452251,0.0002376927,0.0004295092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000300953,0.00005216505,0.995703,0.000006329335,0.00002425572,0.0002662886,0.00002162038,0.0001208361,0.0003007843,0.0000230477,0.0001574158,0.003023233],"study_design_scores_gemma":[0.000003460879,0.0001403718,0.998184,0.000009419764,0.0000286405,0.0007598868,0.00008837096,0.0003204852,0.000171775,0.00003252415,0.0002562687,0.00000473754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961519,0.0005004258,0.0002540664,0.000133633,0.00003371176,0.00001066171,0.0006459133,0.00002242426,0.002247232],"genre_scores_gemma":[0.9988396,0.0000978466,0.0001673216,0.00002205774,0.00002186977,0.000006912581,0.00039951,0.000007675839,0.0004371729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005873043,"threshold_uncertainty_score":0.01397067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04241990696150153,"score_gpt":0.2715744266345759,"score_spread":0.2291545196730743,"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."}}