{"id":"W7034505747","doi":"","title":"”Trendikäs lentää Albaniaan, trendikkäin ei mihinkään” : Miten kehykset ilmentävät lentämistä medialisoituneena ilmiönä Helsingin Sanomien ilmastonmuutosta käsittelevissä sisällöissä 2018-2019","year":2020,"lang":"fi","type":"other","venue":"Työväentutkimus Vuosikirja","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[0.001302853,0.0004061749,0.000247211,0.0006438249,0.002003967,0.00384313,0.000483642,0.001532538,0.03258898],"category_scores_gemma":[0.002384463,0.0001721853,0.0004063441,0.0008211394,0.001243452,0.002241309,0.002266039,0.002822642,0.01051837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002753524,"about_ca_system_score_gemma":0.005249229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424747,"about_ca_topic_score_gemma":0.03521387,"domain_scores_codex":[0.9990312,0.0001863522,0.00005193978,0.0001541541,0.0003349909,0.0002414062],"domain_scores_gemma":[0.9991516,0.0001164369,0.00009446397,0.0000412297,0.0003402443,0.0002559797],"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":[0.000411559,0.0001117626,0.01074069,0.001628201,0.0000653575,0.001357829,0.007429213,0.0001756858,0.007267843,0.04409198,0.6075872,0.3191328],"study_design_scores_gemma":[0.000009514779,0.00002781319,0.005800479,0.0003755458,0.00001260389,0.0003175093,0.002813489,0.00004793724,0.0006157345,0.001736929,0.988227,0.00001557253],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06884941,0.05906381,0.00582506,0.3556179,0.01682052,0.0002275269,0.002311965,0.0008256655,0.490458],"genre_scores_gemma":[0.2571619,0.04833169,0.009538748,0.0640242,0.005072736,0.0002758168,0.002777599,0.0008141587,0.6120031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03258898,"threshold_uncertainty_score":0.109021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884599597774555,"score_gpt":0.2890890768375621,"score_spread":0.2602430808598165,"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."}}