{"id":"W6991985663","doi":"","title":"Johtajuus sosiaalisen identiteetin hallintana : vuoden 2024 presidentinvaaliehdokkaiden kampanjapuheiden analyysi","year":2024,"lang":"fi","type":"other","venue":"Lauda (University of Lapland)","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (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":[0.002076393,0.0005141179,0.000460078,0.0009725138,0.005827309,0.008517502,0.0006921827,0.001865508,0.1670352],"category_scores_gemma":[0.003227692,0.0005079115,0.0003745497,0.001451036,0.001055051,0.002324339,0.004404826,0.003020542,0.05193788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003916639,"about_ca_system_score_gemma":0.008433963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206249,"about_ca_topic_score_gemma":0.07230408,"domain_scores_codex":[0.9978789,0.0002332272,0.00007551083,0.0003656829,0.0009090422,0.0005375736],"domain_scores_gemma":[0.9977192,0.0002389326,0.0001487303,0.000143607,0.0009067103,0.0008429024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008877371,0.00046191,0.03218018,0.0009561109,0.00004403486,0.002015158,0.02987486,0.0001839513,0.01699852,0.04205288,0.5957975,0.2785472],"study_design_scores_gemma":[0.00000639047,0.00004414865,0.01325357,0.0001068032,0.000006939919,0.0001079786,0.006085583,0.00003637562,0.001708909,0.0004711975,0.9781544,0.00001766949],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1395487,0.005635092,0.003240207,0.02609112,0.007162157,0.0005384897,0.007181656,0.0009496303,0.809653],"genre_scores_gemma":[0.07841149,0.001694117,0.003263046,0.001583421,0.0002948691,0.0002273371,0.00365802,0.0003678847,0.9104998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1670352,"threshold_uncertainty_score":0.5587883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243169967225225,"score_gpt":0.227877825956691,"score_spread":0.2154461262844388,"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."}}