{"id":"W6983348703","doi":"","title":"Maksu-tv-kanavan ohjelmistosuunitteluprosessi : Tapaustutkimus Nelonen perhe -kanavan Junior Masterchef -ohjelmistosuunnitteluratkaisusta","year":2012,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Power (physics)","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":[0.0006964636,0.0005180608,0.0003797981,0.0007135668,0.005228437,0.005316016,0.0008766305,0.001487655,0.2607249],"category_scores_gemma":[0.001442612,0.000386151,0.0004517208,0.0005932042,0.0008860872,0.002397019,0.005432622,0.002770012,0.09750518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002652878,"about_ca_system_score_gemma":0.004704642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268667,"about_ca_topic_score_gemma":0.04846647,"domain_scores_codex":[0.9991208,0.00006782551,0.00003465659,0.0001491519,0.000344655,0.0002829461],"domain_scores_gemma":[0.9982003,0.0001050656,0.00008437588,0.0000905273,0.0004542334,0.001065519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006514192,0.0007540278,0.02045845,0.0006915954,0.00002685332,0.00189732,0.02922177,0.0001931358,0.01688472,0.03494909,0.5581726,0.336099],"study_design_scores_gemma":[0.000008415326,0.00008304678,0.009578712,0.0001012428,0.000007064418,0.0002492372,0.005736177,0.00005819259,0.001717594,0.0005780825,0.9818602,0.00002190024],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06517334,0.001399691,0.002484536,0.008269515,0.003403066,0.0002288338,0.001420213,0.000979075,0.9166418],"genre_scores_gemma":[0.04934132,0.0004359473,0.001272981,0.0006089676,0.0002228118,0.00006883389,0.0004891299,0.0002946775,0.9472654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2607249,"threshold_uncertainty_score":0.8722118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385898522909567,"score_gpt":0.2831118159566807,"score_spread":0.244521963665724,"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."}}