{"id":"W7011194756","doi":"","title":"MeiraGTx Reports Second Quarter 2018 Financial Results and Provides Corporate Update","year":2018,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Financial Audit; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003114338,0.0002710499,0.0002867886,0.0002170163,0.0001108165,0.0003827469,0.0002542086,0.0002817163,0.0003770555],"category_scores_gemma":[0.00004243311,0.0002180203,0.00004305734,0.0001644378,0.0002199358,0.0003347575,0.0001357537,0.0001395877,0.0002584337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000138772,"about_ca_system_score_gemma":0.000293404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004872366,"about_ca_topic_score_gemma":0.0002671616,"domain_scores_codex":[0.9983158,0.0000428604,0.0003876504,0.0008170528,0.0001766493,0.0002599973],"domain_scores_gemma":[0.9983516,0.00001145862,0.0008424358,0.0006261539,0.00008085254,0.00008749256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006159602,0.000009323143,0.0000262788,0.00006301389,0.00001082706,0.00005569627,0.00004741373,2.145351e-8,0.00001364619,0.0002563363,0.9720921,0.02741922],"study_design_scores_gemma":[0.0003233413,0.00008525528,0.00006302047,0.0001843267,0.00001166152,0.0007397369,0.000004823673,0.0004928852,0.0004614371,0.005863227,0.9913548,0.0004154567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001453858,0.0003947876,0.07009024,0.0003943836,0.003731837,0.0002771263,0.0000176111,0.0007131473,0.9242355],"genre_scores_gemma":[0.0004029239,0.00003374032,0.07198305,0.0002748344,0.000737666,0.00001074549,0.0000182519,0.00007902734,0.9264598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02700376,"threshold_uncertainty_score":0.8890608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211232807143762,"score_gpt":0.2131527560887043,"score_spread":0.2010404280172667,"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."}}