{"id":"W1994334076","doi":"10.1159/000336533","title":"Science and the Sources of Hype","year":2012,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Stem Cell Network","keywords":"Commercialization; Publication; Political science; Public relations; Social media; Pipeline (software); Data science; Engineering ethics; Internet privacy; Computer science; Engineering; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.009695932,0.00002707656,0.0000702822,0.00007200579,0.0008963951,0.00005896583,0.0002655559,0.00001938151,0.00007544568],"category_scores_gemma":[0.0005575267,0.00001979737,0.00001104883,0.0003717424,0.00142859,0.0002003347,0.00008675152,0.00005256027,0.000009410322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527205,"about_ca_system_score_gemma":0.0007663877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435828,"about_ca_topic_score_gemma":0.0004987845,"domain_scores_codex":[0.999127,0.0002288014,0.0001256499,0.0000511465,0.0001933136,0.0002740604],"domain_scores_gemma":[0.9992757,0.0001509983,0.00009801897,0.0001633021,0.0001196391,0.0001923725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005116456,0.00004167389,0.01124908,0.00001679512,0.000001963292,3.222961e-9,0.3812194,1.636458e-7,0.00004438895,0.4039505,0.0004053932,0.2030656],"study_design_scores_gemma":[0.0001480595,0.00000691688,0.02005259,0.000001894073,9.143901e-7,5.627241e-7,0.02974585,0.00005255343,0.000001875728,0.000261466,0.9496964,0.00003097227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8263462,0.001835724,0.00003989775,0.1281962,0.0002225329,0.0002234714,0.000003583257,0.00001925038,0.04311317],"genre_scores_gemma":[0.9877638,0.009511615,0.0001913489,0.002301772,0.0001229636,0.000004835078,0.000001162531,0.000002370414,0.0001001702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9492909,"threshold_uncertainty_score":0.6894438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6293555643352854,"score_gpt":0.4841455173791071,"score_spread":0.1452100469561783,"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."}}