{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003075635,0.000123836,0.0004590312,0.0001906271,0.0001677105,0.00001784123,0.0001198722,0.00006360382,0.0002809605],"category_scores_gemma":[0.001785393,0.00009896611,0.0002858732,0.000325039,0.0001332018,0.00008468453,0.000005843143,0.0003003576,0.00001339079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177318,"about_ca_system_score_gemma":0.001104169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942796,"about_ca_topic_score_gemma":0.003286148,"domain_scores_codex":[0.9988937,0.00003325935,0.0004851784,0.00009787957,0.0002419664,0.0002480263],"domain_scores_gemma":[0.9975609,0.0001726092,0.0001590414,0.0001844397,0.0005428544,0.0013802],"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":[0.003046421,0.0003295231,0.02932946,0.001154752,0.006529598,0.005761099,0.0340101,0.002055007,0.05877576,0.04459504,0.69101,0.1234032],"study_design_scores_gemma":[0.08223598,0.02306613,0.1446568,0.008236798,0.02738272,0.07474983,0.06155604,0.01111349,0.009835924,0.05991619,0.4937022,0.003547899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7611389,0.01083878,0.01472575,0.2054738,0.001342463,0.001231342,0.0001475608,0.0000441293,0.005057343],"genre_scores_gemma":[0.9956257,0.00004257097,0.0005899708,0.002176881,0.001444432,0.000005134252,0.00004671785,0.00001757467,0.00005102346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2344869,"threshold_uncertainty_score":0.4035721,"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."}}