{"id":"W4413005237","doi":"10.3390/youth5030080","title":"Climate Activism in Our Part of The World and Methodological Insights on How to Study It","year":2025,"lang":"en","type":"article","venue":"Youth","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts; University of Alberta","keywords":"Climate change; Political science; Data science; Computer science; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006044787,0.00004192379,0.00009131829,0.00006708043,0.0001079856,0.00003638504,0.0001792697,0.00001588477,0.000004072424],"category_scores_gemma":[0.0001505055,0.00002385894,0.00001611175,0.0004329989,0.00004360828,0.0000407999,0.0001407079,0.00005385767,0.000001768052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009726207,"about_ca_system_score_gemma":0.000008934365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006982865,"about_ca_topic_score_gemma":0.003625358,"domain_scores_codex":[0.9991394,0.0004040239,0.00006614796,0.0001307111,0.0001467927,0.0001129713],"domain_scores_gemma":[0.9997593,0.00008418498,0.00002680887,0.0001010954,0.000008104841,0.00002048872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001786445,0.0009463481,0.465264,0.00002861694,0.00004867014,0.000008714987,0.4186343,0.00003648913,0.0001064744,0.07352605,0.003085664,0.03813604],"study_design_scores_gemma":[0.0003384204,0.00009161489,0.6230851,0.00009235869,0.00002483606,6.240777e-9,0.3686115,0.000004282526,0.0001665137,0.001451332,0.006049447,0.0000846621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9177228,0.000006719551,0.00000869886,0.005848699,0.0001643483,0.0002993094,7.219145e-7,0.000007439946,0.07594126],"genre_scores_gemma":[0.9936194,0.000006888695,0.00003565993,0.0003716949,0.00001696207,0.000006522952,6.10893e-8,0.000001050286,0.005941725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578211,"threshold_uncertainty_score":0.2023035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337169566079465,"score_gpt":0.401200509149779,"score_spread":0.2674835525418325,"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."}}