{"id":"W7113685751","doi":"","title":"Päätösanalyysi vuorovaikutteisen suunnittelun tukena - Tapaustarkastelussa Koitereen säännöstelyn monitavoitteinen kehittäminen","year":2006,"lang":"fi","type":"other","venue":"Aaltodoc (Aalto University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Work (physics); Decision analysis; Quality (philosophy); Point (geometry); Group decision-making","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":[0.001941942,0.0004901691,0.0004546404,0.0009600203,0.002623637,0.007271842,0.0006066482,0.000856768,0.01462765],"category_scores_gemma":[0.004728199,0.0004386628,0.0003980182,0.0008995989,0.0009802511,0.003009539,0.002523203,0.002028428,0.004403268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308024,"about_ca_system_score_gemma":0.006234981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619632,"about_ca_topic_score_gemma":0.006097088,"domain_scores_codex":[0.9982578,0.0004800835,0.0001187503,0.000225487,0.0006680235,0.0002497957],"domain_scores_gemma":[0.9978904,0.0009755186,0.0001937178,0.00007758202,0.0006138868,0.0002488494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000565063,0.0006558535,0.0318425,0.003227002,0.0001039383,0.005449137,0.1274506,0.01136173,0.03102143,0.1636429,0.04737443,0.5773056],"study_design_scores_gemma":[0.00002543981,0.0002807431,0.02035817,0.002198438,0.00008206191,0.001760572,0.03632804,0.004317043,0.01649453,0.02406802,0.8939703,0.0001165428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5184942,0.01993468,0.05354141,0.01586449,0.002096373,0.0005199013,0.0009761318,0.0006237873,0.3879489],"genre_scores_gemma":[0.8570159,0.01181126,0.02149223,0.0005570919,0.0001430033,0.0003953575,0.0005576864,0.0003358294,0.1076917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01462765,"threshold_uncertainty_score":0.0489344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165274523241944,"score_gpt":0.1961704525412973,"score_spread":0.1845177073088778,"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."}}