{"id":"W2325834693","doi":"10.3390/isis-summit-vienna-2015-s2016","title":"Many\"-isms\" About Information","year":2015,"lang":"en","type":"article","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002884547,0.0007723281,0.0006645417,0.003695997,0.003483653,0.01333854,0.0009770753,0.005736811,0.0549078],"category_scores_gemma":[0.01282331,0.0002936412,0.0004392335,0.00798942,0.008646094,0.01324697,0.002956801,0.005453706,0.01538341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232753,"about_ca_system_score_gemma":0.002066943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293881,"about_ca_topic_score_gemma":0.001011906,"domain_scores_codex":[0.9940792,0.002955983,0.0003752236,0.0005922744,0.00170369,0.0002936289],"domain_scores_gemma":[0.9920031,0.005408072,0.0005108151,0.0007674547,0.001041016,0.0002695566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003102901,0.000009534589,0.0001344848,0.0004063981,0.000006852224,0.0001011651,0.001986448,0.00008994944,0.0001140767,0.6938252,0.2597471,0.04354765],"study_design_scores_gemma":[0.000003086769,0.00001063754,0.0001561556,0.0004596662,0.000003449877,0.0001089103,0.0005744093,0.0001150098,0.00006101463,0.07517999,0.9233185,0.000009105787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001682293,0.0553598,0.00744952,0.1652107,0.03647284,0.00006923281,0.0005593983,0.0002839627,0.7329122],"genre_scores_gemma":[0.161661,0.08964863,0.007136455,0.1037656,0.08454312,0.0003601073,0.0009067942,0.0006207942,0.5513574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0549078,"threshold_uncertainty_score":0.1836849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440475508333015,"score_gpt":0.3400393574178834,"score_spread":0.2856346023345533,"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."}}