{"id":"W6891263577","doi":"10.3886/e120552v1","title":"2020 Live Caller Region of Waterloo Survey","year":2020,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001595292,0.001005195,0.001620095,0.0003284819,0.0001110851,0.0002277277,0.007494219,0.0008401946,0.0008813511],"category_scores_gemma":[0.003072237,0.0009737541,0.0001781529,0.001036864,0.0004493439,0.0009940033,0.006005705,0.001418277,0.03377542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625414,"about_ca_system_score_gemma":0.0003167791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407969,"about_ca_topic_score_gemma":0.004966427,"domain_scores_codex":[0.9936557,0.000673275,0.001267095,0.002413605,0.001134339,0.0008559633],"domain_scores_gemma":[0.9891865,0.0004630187,0.001460784,0.008012441,0.0004067673,0.0004705403],"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":[0.0003433401,0.0001676389,0.0001304468,0.00057118,0.0003882437,0.0006534483,0.0001458959,0.000001162082,0.0001241691,0.000002470887,0.9974127,0.00005924018],"study_design_scores_gemma":[0.000708945,0.0001555978,0.0007202487,0.0003721923,0.0003999832,0.00008756167,0.0000485721,0.00004038778,0.0001171203,0.00002263446,0.9963589,0.0009678475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004436353,0.0003934325,0.000002706367,0.0001880568,0.0005531873,0.0006981654,0.9975213,0.0001738715,0.00002557985],"genre_scores_gemma":[0.0001773012,0.001114441,0.0001210963,0.0004556557,0.0006403783,0.00002420252,0.9969455,0.0002959374,0.0002254681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03289406,"threshold_uncertainty_score":0.9992713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267816492448404,"score_gpt":0.3121410283110209,"score_spread":0.1853593790661805,"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."}}