{"id":"W7034701448","doi":"","title":"Turvallisuus ennen kaikkea? : Suomen lainsäädännöllinen varautuminen maahanmuuton välineellistämiseen hybridiuhkana","year":2023,"lang":"fi","type":"other","venue":"UTUPub (University of Turku)","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Quarter (Canadian coin); Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004566548,0.0009245172,0.001359372,0.0002053083,0.0005459837,0.0001078303,0.00197038,0.001073756,0.01626995],"category_scores_gemma":[0.00006973398,0.0005416266,0.0009260486,0.001361177,0.0004411735,0.0003460271,0.0007050837,0.000690216,0.004043668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109754,"about_ca_system_score_gemma":0.00007012649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01967225,"about_ca_topic_score_gemma":0.03819068,"domain_scores_codex":[0.9959232,0.0002371734,0.000501521,0.001366312,0.0008701567,0.001101658],"domain_scores_gemma":[0.9975845,0.0003864073,0.0007865173,0.0004233639,0.0002770896,0.0005421045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002532036,0.0008004421,0.007953186,0.0004289056,0.001386974,0.0006435113,0.001939382,0.00007003081,0.008910568,0.001151431,0.8865299,0.08993248],"study_design_scores_gemma":[0.0006812097,0.0003861842,0.05590906,0.0003663613,0.0003768441,0.00001089025,0.002774146,0.0002152962,0.0001027425,0.0001259998,0.9379457,0.001105542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4370925,0.005129636,0.00006046131,0.0190559,0.005001461,0.003263966,0.004753805,0.002206613,0.5234357],"genre_scores_gemma":[0.05817462,0.004120496,0.0002908902,0.0001921041,0.002894393,0.000002327063,0.001257615,0.00008365908,0.9329839],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4095483,"threshold_uncertainty_score":0.9997035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387432154621178,"score_gpt":0.1707998556090878,"score_spread":0.156925534062876,"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."}}