{"id":"W6928645536","doi":"10.3886/e120552","title":"2020 Live Caller Region of Waterloo Survey","year":2020,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"","keywords":"Context (archaeology); Data collection; Government (linguistics); Sustainable development; European union","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01574518,0.0004062404,0.0008907176,0.0003882042,0.0001629332,0.0006851453,0.007555441,0.0003532249,0.002758027],"category_scores_gemma":[0.02806233,0.0003019693,0.0001538006,0.001506572,0.0002733465,0.0008610171,0.002024743,0.0004539747,0.004694485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006313629,"about_ca_system_score_gemma":0.000360247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003686688,"about_ca_topic_score_gemma":0.002878415,"domain_scores_codex":[0.9900541,0.001034342,0.001645723,0.002083468,0.004765443,0.0004169723],"domain_scores_gemma":[0.9898446,0.001558193,0.001496563,0.005393495,0.001447478,0.0002596787],"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":[0.00009516354,0.00005178944,0.000256199,0.00003218018,0.00004880234,0.00002331965,0.0001846121,0.000005758972,0.00004556177,0.000003779412,0.9979397,0.001313156],"study_design_scores_gemma":[0.0003537512,0.00007958306,0.00113857,0.0000832379,0.00009543549,0.000006614121,0.0001698493,0.0006656677,0.00007056378,0.0006644904,0.9963318,0.000340406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006988854,0.0001781365,0.00007314582,0.0007515792,0.001995282,0.0004760218,0.9957248,0.00002564518,0.00007650771],"genre_scores_gemma":[0.0007713559,0.0001706313,0.00009184661,0.0004035262,0.000360898,0.000008838213,0.9968515,0.00001875743,0.001322652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01231715,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.580201570450847,"score_gpt":0.4429159786354582,"score_spread":0.1372855918153888,"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."}}