{"id":"W3037423740","doi":"10.4103/cjrm.cjrm_73_19","title":"Two cases: Situations for artificial surfactant, beyond prematurity","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Rural Medicine","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pulmonary surfactant; Artificial intelligence; Computer science; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194128,0.003953034,0.001666766,0.005554093,0.007337764,0.003537987,0.00378375,0.0265597,0.005920656],"category_scores_gemma":[0.01782488,0.001670759,0.002950315,0.002549642,0.004653972,0.004186679,0.004128553,0.01367437,0.001682509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00536324,"about_ca_system_score_gemma":0.003099309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008039798,"about_ca_topic_score_gemma":0.00918531,"domain_scores_codex":[0.9975509,0.00031202,0.0003298972,0.0004180991,0.0003589879,0.001030145],"domain_scores_gemma":[0.9937295,0.001638938,0.001043465,0.0004629036,0.0004354573,0.002689821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00004729898,0.00006999155,0.002787957,0.00003150689,0.000006070596,0.9944373,0.0002402824,0.00009353452,0.0001044623,0.0008971936,0.0005213836,0.0007629603],"study_design_scores_gemma":[0.00003063534,0.00006562257,0.001483767,0.00004667586,0.00001007522,0.9948455,0.0004983338,0.0002534488,0.0002556625,0.0009310585,0.001546607,0.00003260913],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7350659,0.01651543,0.02546012,0.1193304,0.01242813,0.002345918,0.002009963,0.0007784663,0.08606582],"genre_scores_gemma":[0.9470086,0.004116456,0.01190953,0.01455794,0.01102636,0.0003925147,0.0005137152,0.0001545154,0.01032034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0265597,"threshold_uncertainty_score":0.03891319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929263019583654,"score_gpt":0.2954449468249532,"score_spread":0.2461523166291167,"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."}}