{"id":"W6946123970","doi":"10.26193/jzkrd8","title":"Australian Survey of Social Attitudes, 2017","year":2018,"lang":"en","type":"dataset","venue":"Australian Data Archive","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); General Social Survey; Survey data collection; Theme (computing); Survey research; Survey methodology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0010129,0.0005533981,0.0008028672,0.0003036969,0.0002147362,0.0002233539,0.0115979,0.0003509025,0.0001933184],"category_scores_gemma":[0.0004525088,0.0005414016,0.0001247221,0.0005560229,0.0006803406,0.001288268,0.004569672,0.0008043162,0.0002837383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004463341,"about_ca_system_score_gemma":0.0003281691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368929,"about_ca_topic_score_gemma":0.001707684,"domain_scores_codex":[0.9960316,0.0004135118,0.0007696169,0.001410843,0.0006600402,0.0007143369],"domain_scores_gemma":[0.9933512,0.0002122615,0.0007767307,0.005229389,0.0002235219,0.000206851],"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":[0.00001783114,0.0001052496,0.00004883087,0.0001378139,0.00009837125,0.00006156558,0.00002637035,6.606052e-8,0.00003212959,0.00008997384,0.9980448,0.001337022],"study_design_scores_gemma":[0.0001887009,0.0002087374,0.01743287,0.0001249347,0.0000493626,0.00002140077,0.000002257148,0.000005624966,0.0005383861,0.0007196789,0.9801462,0.0005617891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004525645,0.00001906452,0.01437183,0.0002247891,0.0003969804,0.0003681608,0.9844328,0.0001175968,0.00006425018],"genre_scores_gemma":[0.00006795595,0.0001978912,0.02892681,0.00009128765,0.0003184662,0.00001013834,0.9695395,0.00002329573,0.000824647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01789852,"threshold_uncertainty_score":0.9997038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1478619138817386,"score_gpt":0.4077632992099223,"score_spread":0.2599013853281836,"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."}}