{"id":"W7002191529","doi":"","title":"Metsätieteellisen koelaitoksen julkaisuja 1. 1919","year":2015,"lang":"fi","type":"article","venue":"Jukuri (Natural Resources Institute Finland (Luke))","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Population; Quarter (Canadian coin); Gloom","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001085787,0.001232493,0.001594897,0.0004826159,0.0005602255,0.0003880459,0.001188363,0.001117502,0.0002454952],"category_scores_gemma":[0.004718397,0.0009948377,0.0006214711,0.0009696318,0.001009657,0.000793875,0.0009033918,0.002528129,0.003694815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958184,"about_ca_system_score_gemma":0.0007626281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789883,"about_ca_topic_score_gemma":0.0003351566,"domain_scores_codex":[0.9930905,0.000321678,0.001317492,0.001434179,0.00200086,0.001835288],"domain_scores_gemma":[0.9945706,0.0007564583,0.0005778148,0.001531716,0.000533866,0.00202956],"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":[0.009685614,0.001949816,0.08504508,0.001985825,0.003184692,0.01059502,0.02149033,0.005937531,0.000449753,0.006988703,0.6250838,0.2276039],"study_design_scores_gemma":[0.006501293,0.000959741,0.01256964,0.00120312,0.0009989833,0.0004187668,0.0009599592,0.004956697,0.0005536147,0.0003091565,0.9692343,0.001334715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6834217,0.06132648,0.0003520977,0.007275731,0.01414849,0.001621367,0.0005564121,0.0006219842,0.2306758],"genre_scores_gemma":[0.9182293,0.001381629,0.002100391,0.001753389,0.006757798,0.00004005523,0.0006591699,0.0001479521,0.0689303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3441505,"threshold_uncertainty_score":0.9997731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03525836897200033,"score_gpt":0.2835923916209337,"score_spread":0.2483340226489334,"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."}}