{"id":"W2902134163","doi":"10.1130/abs/2018am-319985","title":"TIME SCAVENGERS: A COLLABORATIVE ENDEAVOR TO DISSEMINATE COMPLEX SCIENCE TO INCREASE PUBLIC LITERACY ON CLIMATE CHANGE AND EVOLUTION","year":2018,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Northwood","funders":"","keywords":"Dissemination; Scientific literacy; Climate change; Literacy; Computer science; Political science; Science education; Sociology; Mathematics education; Psychology; Ecology; Telecommunications; Biology; Pedagogy","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":[0.0301422,0.0007134077,0.0007085645,0.003047147,0.009149858,0.006273799,0.003308176,0.004299619,0.06573301],"category_scores_gemma":[0.05569021,0.0006258112,0.001005604,0.001753103,0.002477934,0.008630394,0.01789437,0.004597367,0.007657296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580197,"about_ca_system_score_gemma":0.02257147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008466889,"about_ca_topic_score_gemma":0.02722537,"domain_scores_codex":[0.9916316,0.004561885,0.0004062467,0.001114586,0.001471126,0.0008145149],"domain_scores_gemma":[0.9322551,0.02622803,0.003639769,0.01053832,0.00801023,0.01932847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000540212,0.005336198,0.01505231,0.0007652492,0.0001319906,0.0009380449,0.06423814,0.0009270075,0.009010076,0.01082635,0.2785522,0.6136822],"study_design_scores_gemma":[0.0006970918,0.001932205,0.02080005,0.0005301096,0.0002530226,0.0004133014,0.08146783,0.003716462,0.007622459,0.01425986,0.868094,0.0002135874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3836127,0.002326206,0.1641325,0.1976649,0.01540908,0.01077154,0.003615948,0.009642392,0.2128247],"genre_scores_gemma":[0.5254679,0.001692747,0.2379862,0.01460028,0.002292381,0.008932543,0.002958465,0.002102391,0.2039671],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06573301,"threshold_uncertainty_score":0.2198988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1828218601004848,"score_gpt":0.3996768681756644,"score_spread":0.2168550080751797,"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."}}