{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001068974,0.0001749115,0.0002572598,0.00008096414,0.001149893,0.0002092572,0.0004173495,0.00009962467,0.0002854486],"category_scores_gemma":[0.0003196293,0.0001365476,0.00005377374,0.001841353,0.004472842,0.0004565138,0.0002482127,0.0001499667,0.0001449167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826374,"about_ca_system_score_gemma":0.00009273358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419193,"about_ca_topic_score_gemma":0.0002487982,"domain_scores_codex":[0.9979715,0.0001730967,0.0002538485,0.0004428097,0.0005302849,0.0006284927],"domain_scores_gemma":[0.9979275,0.0001894031,0.0002210349,0.0002970583,0.0008395426,0.0005254173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004454794,0.001206063,0.01412842,0.00004620898,0.00003410448,0.000002133806,0.1787679,0.000003479805,0.002474164,0.001019906,0.001366476,0.8005056],"study_design_scores_gemma":[0.0006992721,0.007503312,0.78451,0.0003849296,0.00003687027,0.000004216692,0.06995013,0.00110873,0.00007887143,0.000268918,0.1346993,0.000755532],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690253,0.00003471826,0.0000526018,0.01832345,0.00003112464,0.001294504,0.0000312844,0.0001805363,0.01102648],"genre_scores_gemma":[0.9806181,0.0003034846,0.01617859,0.002491032,0.0001354217,0.0001749451,0.00003818751,0.000009018467,0.00005127239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7997501,"threshold_uncertainty_score":0.9982364,"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."}}