{"id":"W2294745179","doi":"10.1016/j.it.2016.02.004","title":"The Whiteboard Revolution: Illuminating Science Communication in the Digital Age","year":2016,"lang":"en","type":"article","venue":"Trends in Immunology","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nutrasource","funders":"","keywords":"Whiteboard; Science communication; Work (physics); Process (computing); Interactive whiteboard; Computer science; Multimedia; Internet privacy; Science education; Psychology; Mathematics education; Engineering","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":[0.002430577,0.00005634076,0.00007042099,0.0001816943,0.001057681,0.0001339517,0.001360149,0.00006159303,0.0001230374],"category_scores_gemma":[0.0007295989,0.00003104971,0.00002580782,0.001033407,0.002900758,0.0002964869,0.000186465,0.000167037,0.00004654644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687218,"about_ca_system_score_gemma":0.00004533028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006229854,"about_ca_topic_score_gemma":0.02337824,"domain_scores_codex":[0.9986405,0.0005715023,0.0002061519,0.0001212585,0.0001833638,0.0002772244],"domain_scores_gemma":[0.9984495,0.0007581104,0.00008413874,0.0006447174,0.00004984763,0.00001365208],"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":[0.00001214988,0.00004204607,0.004766554,5.072433e-7,0.000001569963,7.334569e-7,0.05031329,2.439002e-7,0.0006319481,0.09534048,0.0002464057,0.8486441],"study_design_scores_gemma":[0.0006374088,0.00004928325,0.5256559,0.00008860163,0.000002758975,0.000005591389,0.0784638,0.00002544928,0.00001457167,0.008021478,0.3868623,0.0001728598],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.501071,0.001251595,0.00001387176,0.07247531,0.0002676992,0.0001568152,0.000004627955,0.00005582673,0.4247033],"genre_scores_gemma":[0.9939387,0.004460442,0.00003887386,0.00008675978,0.00002539734,0.00003798076,0.000006514644,0.00000319729,0.001402152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8484712,"threshold_uncertainty_score":0.9998128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2635769971649474,"score_gpt":0.4367202098554843,"score_spread":0.1731432126905369,"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."}}