{"id":"W7066188734","doi":"","title":"Harrastamisen Suomen malli, etsivän harrastustoiminnan kehittäminen Nousiaisten kunnassa","year":2022,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Power (physics); Quarter (Canadian coin)","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":[0.001850029,0.0006196517,0.0004064065,0.0008521428,0.002644129,0.00557797,0.0009328439,0.001597417,0.06877851],"category_scores_gemma":[0.002707885,0.0003659272,0.000620984,0.001108333,0.0009592802,0.003288425,0.003536612,0.00241467,0.02571285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003223615,"about_ca_system_score_gemma":0.009046924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907059,"about_ca_topic_score_gemma":0.05422989,"domain_scores_codex":[0.9985322,0.0002113201,0.00006882144,0.0002786129,0.0005238135,0.0003851639],"domain_scores_gemma":[0.9982334,0.0002069879,0.0001537073,0.0001101239,0.0007700941,0.0005256601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009476576,0.0006691939,0.04584809,0.0027331,0.0001405039,0.001701242,0.01682097,0.001209486,0.02679288,0.101789,0.2859252,0.5154225],"study_design_scores_gemma":[0.00001573312,0.00009011196,0.01652834,0.0003077648,0.00002567559,0.0001524306,0.005139779,0.0002220792,0.002277301,0.003306369,0.9718946,0.00003992369],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1165411,0.01322071,0.01426893,0.03149089,0.004416835,0.000537136,0.006113848,0.001095449,0.812315],"genre_scores_gemma":[0.286535,0.009152846,0.01430926,0.005023685,0.0005307723,0.0005181018,0.005879133,0.0007834804,0.6772678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06877851,"threshold_uncertainty_score":0.230087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950181782726753,"score_gpt":0.2730300344592209,"score_spread":0.2335282166319534,"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."}}