{"id":"W4406706217","doi":"10.1386/jem_00133_1","title":"Missing targets: Engagement metrics and digital organizing in the climate movement","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Media","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Movement (music); Computer science; Data science; Environmental science; Geography; Art; Aesthetics","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":[0.02189312,0.0006001931,0.0004875877,0.005168092,0.002235555,0.01022324,0.001084111,0.001323911,0.005778348],"category_scores_gemma":[0.100611,0.0003018904,0.0004339412,0.007113035,0.006292981,0.01376974,0.008994299,0.002013602,0.0005400872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186858,"about_ca_system_score_gemma":0.001628284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191395,"about_ca_topic_score_gemma":0.002979317,"domain_scores_codex":[0.9765723,0.01619699,0.001041104,0.001759374,0.003706703,0.0007234943],"domain_scores_gemma":[0.9110748,0.06413568,0.01263092,0.004610293,0.005609522,0.001938804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004678705,0.0003505478,0.2851837,0.001356562,0.0003361438,0.0001871,0.08556779,0.004146581,0.001527117,0.3570839,0.006507115,0.2572857],"study_design_scores_gemma":[0.00005386937,0.0006318335,0.2973129,0.002718103,0.0002604102,0.0003981937,0.1551445,0.02382762,0.003367472,0.4164383,0.09957853,0.0002683615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7016321,0.003783438,0.1130392,0.0165729,0.0004675034,0.0003401646,0.001325239,0.0002672217,0.1625723],"genre_scores_gemma":[0.9915598,0.0002470347,0.006485104,0.0001824799,0.00006848985,0.0001646927,0.0001556229,0.00004610771,0.001090663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02189312,"threshold_uncertainty_score":0.1157832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412780627891706,"score_gpt":0.2826698072605625,"score_spread":0.2585420009816455,"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."}}