{"id":"W7002181374","doi":"","title":"Merimetson kasvistovaikutukset Suomenlahden saaristossa 1998–2010","year":2011,"lang":"fi","type":"other","venue":"Työväentutkimus Vuosikirja","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Sample (material)","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":[0.0007270097,0.0004392025,0.0002965028,0.001092406,0.001561073,0.002581907,0.0006885513,0.0007323627,0.05774922],"category_scores_gemma":[0.001520371,0.0003133134,0.0003673894,0.001504407,0.0003902373,0.001238288,0.002052292,0.001245987,0.01699636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641505,"about_ca_system_score_gemma":0.003713918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05371691,"about_ca_topic_score_gemma":0.1015818,"domain_scores_codex":[0.9993653,0.0000406271,0.00004091877,0.0001523152,0.0002537848,0.0001472117],"domain_scores_gemma":[0.9991209,0.0000788146,0.0001009973,0.00005091692,0.0004531261,0.0001952681],"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":[0.001771376,0.00040092,0.09492832,0.001991356,0.0001451427,0.00150458,0.01415268,0.0006513391,0.01394095,0.02276705,0.4101881,0.4375582],"study_design_scores_gemma":[0.00001425399,0.00005995868,0.06208005,0.0002274544,0.00002254757,0.0001645409,0.003385348,0.0001129511,0.002244538,0.000398832,0.9312641,0.00002547044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3013515,0.007959505,0.003607346,0.008187776,0.003610477,0.0003366157,0.0562379,0.001236,0.6174728],"genre_scores_gemma":[0.2419888,0.004875606,0.004234934,0.001787697,0.0003768266,0.0002448448,0.03584804,0.0006681106,0.7099752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05774922,"threshold_uncertainty_score":0.1931903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803868358233242,"score_gpt":0.2634839564811966,"score_spread":0.2354452728988642,"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."}}