{"id":"W7139390113","doi":"","title":"Hyvin pienipainosten keskosten ja asfyktisina syntyneiden täysiaikaisten lasten ennusteen arvioiminen käyttäen Doppler -ultraäänitutkimusta sekä kliinisiä, neurofysiologisia ja lapsen neurologista kehitystä kuvaavia menetelmiä","year":2015,"lang":"en","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Scale (ratio)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010659,0.0008555496,0.001189119,0.000915469,0.00101312,0.002617081,0.0006488381,0.001591046,0.0293031],"category_scores_gemma":[0.002016232,0.0004778015,0.001062754,0.0006859897,0.0009449562,0.001619023,0.00137275,0.002553629,0.007973811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238884,"about_ca_system_score_gemma":0.002025925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004583318,"about_ca_topic_score_gemma":0.005215978,"domain_scores_codex":[0.9992495,0.0001165697,0.00008303034,0.0001937289,0.0002290048,0.000128211],"domain_scores_gemma":[0.9990729,0.0002467965,0.0001522477,0.00006944738,0.0003025083,0.0001560475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00661711,0.001166805,0.07317587,0.004427497,0.0007511549,0.01029925,0.004469341,0.001162564,0.1823965,0.009469854,0.05391182,0.6521522],"study_design_scores_gemma":[0.0004800792,0.002917504,0.2315602,0.002844216,0.0008603805,0.04016986,0.005911654,0.002791011,0.08457074,0.0134,0.6140715,0.0004227809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5513104,0.1389826,0.06526793,0.02894093,0.007803447,0.001018417,0.007761261,0.002305808,0.1966091],"genre_scores_gemma":[0.6690452,0.05613615,0.04176389,0.005846318,0.00213531,0.0008139319,0.004990623,0.0007454606,0.2185232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0293031,"threshold_uncertainty_score":0.09802866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787201822382971,"score_gpt":0.2426430046285094,"score_spread":0.2247709864046797,"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."}}