{"id":"W6982283032","doi":"","title":"Hyönteistuhojen vaikutukset Turun kaupungin metsissä : tarkastelussa kaarnakuoriaiset","year":2023,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Historical and Linguistic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Population; Ethnic group; Work (physics); Attendance; Rural area","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134642,0.0004514948,0.0002409374,0.0005903881,0.002701429,0.007701034,0.0007095473,0.001530327,0.06621473],"category_scores_gemma":[0.001474696,0.0002834653,0.0004358833,0.0008056182,0.001163358,0.003108032,0.003296396,0.002228803,0.01447558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004005227,"about_ca_system_score_gemma":0.006120721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044291,"about_ca_topic_score_gemma":0.06765135,"domain_scores_codex":[0.9989447,0.000147486,0.00004459553,0.0002118863,0.0003926071,0.0002588155],"domain_scores_gemma":[0.9993047,0.0001154326,0.00005855825,0.00004625346,0.0002529469,0.0002221973],"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":[0.0007981345,0.0004236173,0.01866755,0.001367358,0.00007101615,0.001639852,0.01955493,0.0010284,0.01982515,0.2619829,0.3067427,0.3678983],"study_design_scores_gemma":[0.000008115082,0.0000466688,0.006691867,0.0002351062,0.00001466036,0.00009428174,0.006316378,0.000218597,0.002480138,0.005533818,0.9783326,0.00002776349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09553608,0.008402198,0.006967267,0.04579116,0.005113109,0.0001609009,0.001816569,0.0004084001,0.8358043],"genre_scores_gemma":[0.2437594,0.007452751,0.007246731,0.005032589,0.0004878615,0.0001429214,0.001740487,0.0004774118,0.7336599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06621473,"threshold_uncertainty_score":0.2215104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454199604081126,"score_gpt":0.2929155372231357,"score_spread":0.2583735411823244,"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."}}