{"id":"W4399423692","doi":"10.52381/icop2024.157.1","title":"From science to story: communicating permafrost concepts with data comics","year":2024,"lang":"en","type":"report","venue":"","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Simon Fraser University","funders":"","keywords":"Comics; Permafrost; Narrative; Visualization; Data science; Transparency (behavior); Computer science; Science communication; Storytelling; Geovisualization; Data visualization; Information visualization; Science education; Sociology; Ecology; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003723663,0.0002059035,0.0003077934,0.0002173829,0.001103809,0.0006027408,0.004794836,0.0001919404,0.001825232],"category_scores_gemma":[0.0006871684,0.0001809523,0.00003431991,0.000798905,0.001611165,0.000297599,0.002805758,0.0006465956,0.0004164133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008060663,"about_ca_system_score_gemma":0.002996419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08159304,"about_ca_topic_score_gemma":0.1959263,"domain_scores_codex":[0.9970924,0.0002657372,0.0002446864,0.0006330496,0.001411685,0.0003524267],"domain_scores_gemma":[0.9951503,0.0003236889,0.0001866907,0.003608226,0.0004533326,0.0002778142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001248196,0.000072484,0.001201301,0.000075549,0.00005950606,0.000006851194,0.1055614,0.000001868271,0.0005176455,0.003877499,0.8488588,0.03975461],"study_design_scores_gemma":[0.00005479173,0.00001383916,0.0001802398,0.0004274998,0.00004183071,0.000001501158,0.04043722,0.00008317448,0.000002835313,0.00004110452,0.9584398,0.0002761093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002016003,0.001306577,0.00008827335,0.01160755,0.0009039631,0.0005444891,0.0033935,0.0005208025,0.9796188],"genre_scores_gemma":[0.5118732,0.1014155,0.03875588,0.006328119,0.005873084,0.0002753169,0.04100331,0.0007621059,0.2937134],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6859055,"threshold_uncertainty_score":0.9990872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7115245074986354,"score_gpt":0.5643577635785905,"score_spread":0.1471667439200449,"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."}}