{"id":"W7034396202","doi":"","title":"Suomen kaupan ja teollisuuden rakenne kuljetusten näkökulmasta","year":2009,"lang":"fi","type":"other","venue":"Doria (University of Helsinki)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Population; Quarter (Canadian coin)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004171623,0.0007346666,0.001557681,0.0007353492,0.0003016566,0.0000425233,0.001064075,0.001191246,0.01234538],"category_scores_gemma":[0.000250668,0.0008767647,0.0005233541,0.0005613717,0.0005431632,0.0002280915,0.0004689217,0.0009187312,0.002197266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192342,"about_ca_system_score_gemma":0.000398118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004957146,"about_ca_topic_score_gemma":0.001332434,"domain_scores_codex":[0.9965592,0.000195224,0.0004127876,0.0009422941,0.0009284114,0.0009621042],"domain_scores_gemma":[0.996778,0.0003272225,0.0006906455,0.00120352,0.0002677196,0.0007328903],"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":[0.004001586,0.002681201,0.01317479,0.002320937,0.00387827,0.006057545,0.009697037,0.00007886616,0.001139932,0.007779574,0.596397,0.3527933],"study_design_scores_gemma":[0.006417219,0.001280676,0.02058539,0.002948741,0.001788329,0.00006150623,0.003481754,0.0002270524,0.0000878616,0.0002998143,0.9618182,0.001003411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01254564,0.006013832,0.001323837,0.0035226,0.00148187,0.001265451,0.001018301,0.0003786013,0.9724499],"genre_scores_gemma":[0.07607912,0.002436901,0.004580977,0.0002292189,0.001413216,4.656185e-7,0.0009520465,0.0002215406,0.9140865],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3654213,"threshold_uncertainty_score":0.9993683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215598138685106,"score_gpt":0.2125968617598833,"score_spread":0.2004408803730323,"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."}}