{"id":"W7000289149","doi":"","title":"Elinkaarimallien soveltaminen tietokantapohjaisen web-sovelluksen kehittämisessä : CASE: Taitouinnin pistelaskujärjestelmä","year":2011,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Government (linguistics)","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":[0.00127713,0.0004641484,0.0002602212,0.0008077275,0.00879445,0.006374648,0.00128091,0.004994067,0.03000691],"category_scores_gemma":[0.003947765,0.0003939594,0.0004049273,0.000886213,0.005396082,0.00700412,0.004807589,0.004115791,0.005796308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004771897,"about_ca_system_score_gemma":0.00341495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01946405,"about_ca_topic_score_gemma":0.05067211,"domain_scores_codex":[0.9977412,0.000657792,0.0000916648,0.0002854812,0.0004739721,0.000749807],"domain_scores_gemma":[0.9976982,0.0007950588,0.0002796075,0.0001466398,0.0003096204,0.0007708966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001804011,0.0007096907,0.03629012,0.0005567808,0.00003097645,0.2187276,0.1956617,0.0004881823,0.004200843,0.2522729,0.2090467,0.08183412],"study_design_scores_gemma":[0.00001980419,0.00008813166,0.007659936,0.000547338,0.00002494421,0.06401999,0.157477,0.001097525,0.002235124,0.01721891,0.7495419,0.00006942263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2289737,0.00295344,0.007743948,0.09677947,0.00140112,0.0001771909,0.0002048255,0.000415168,0.661351],"genre_scores_gemma":[0.6839442,0.002764649,0.004132733,0.01803642,0.0004839213,0.0001300214,0.0001546099,0.0002841392,0.2900693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03000691,"threshold_uncertainty_score":0.1003831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304555229418412,"score_gpt":0.2612654357485596,"score_spread":0.2308099128067184,"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."}}