{"id":"W2796387554","doi":"10.1145/3170427.3186325","title":"Panel","year":2018,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary; National Science Foundation","keywords":"Raising (metalworking); Space (punctuation); Equity (law); Diversity (politics); Public relations; Computer science; Political science; Sociology; Internet privacy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007714033,0.0007456537,0.0005327787,0.0007183836,0.007950109,0.006633121,0.001911169,0.01172597,0.2772142],"category_scores_gemma":[0.01408748,0.0005972309,0.001070424,0.0006442156,0.000952969,0.003798154,0.003818854,0.009620967,0.1227532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002772762,"about_ca_system_score_gemma":0.007608984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197385,"about_ca_topic_score_gemma":0.01592535,"domain_scores_codex":[0.9962687,0.0005495046,0.0001402683,0.0008162794,0.001198474,0.001026762],"domain_scores_gemma":[0.9913696,0.001299483,0.000196163,0.0006099149,0.004670586,0.001854235],"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":[0.00003661151,0.00002190768,0.0001740897,0.00003896792,0.000002008763,0.00006256645,0.0001574004,0.00002004772,0.0003782918,0.003915998,0.987642,0.007549943],"study_design_scores_gemma":[0.0000104689,0.00001217036,0.0004612998,0.00005828237,0.000002372594,0.00003107145,0.0003792449,0.00002826855,0.000150942,0.001073486,0.9977842,0.000008281545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005435273,0.001537194,0.004425935,0.2979157,0.08350817,0.002820787,0.006905164,0.0006155022,0.5968364],"genre_scores_gemma":[0.01538543,0.0007693279,0.001803506,0.1410275,0.007572779,0.002452098,0.00234434,0.0003273828,0.8283176],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7227858,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05071962743453364,"score_gpt":0.293333519344037,"score_spread":0.2426138919095033,"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."}}