{"id":"W2980219905","doi":"10.29173/iasl7388","title":"All together now?","year":2019,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Political science; National Policy; Information policy; Library science; Sociology; Public relations; Epistemology; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003984463,0.0001520915,0.0001681898,0.00008748844,0.00004033695,0.0002280866,0.0009080712,0.00008119023,0.000188734],"category_scores_gemma":[0.0001113049,0.000130628,0.00005074845,0.0002339593,0.00003731891,0.0009797129,0.000209651,0.0001862932,0.001049891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002706032,"about_ca_system_score_gemma":0.0001791338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001761249,"about_ca_topic_score_gemma":0.000001346217,"domain_scores_codex":[0.9987117,0.0000121677,0.0001790445,0.0004394477,0.0003227475,0.0003348707],"domain_scores_gemma":[0.9988382,0.00007349924,0.0000899158,0.000195019,0.0006299557,0.0001733706],"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":[0.00003143338,0.0003098504,0.06784422,0.000161513,0.00006867635,0.000005170691,0.3040675,0.000001320532,0.00724043,0.5028031,0.0374668,0.07999997],"study_design_scores_gemma":[0.001080293,0.0005698768,0.03927239,0.0002022952,0.00002437952,0.00007795954,0.02594036,0.005996204,0.0113882,0.0964684,0.8176782,0.001301416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592192,0.00005445008,0.01100557,0.009662562,0.00097391,0.000269798,0.000004118538,0.0002096419,0.01860072],"genre_scores_gemma":[0.8616193,0.00002456812,0.1297645,0.002407138,0.0001674108,0.00003444334,0.000001645239,0.0000116117,0.005969387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7802114,"threshold_uncertainty_score":0.9997279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532489457542929,"score_gpt":0.3070026160688495,"score_spread":0.2716777214934202,"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."}}