{"id":"W6921743774","doi":"10.7939/dvn/10555","title":"Alberta Survey, 1994","year":2015,"lang":"en","type":"dataset","venue":"Borealis","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Government (linguistics); Sample (material); Population; Survey sampling; Survey research; Social research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003307065,0.0001495254,0.0001599422,0.00008562021,0.00003053721,0.0001309762,0.001204746,0.000113744,0.00001117889],"category_scores_gemma":[0.000195575,0.0001427005,0.00003649104,0.0001607501,0.00001136586,0.00009544166,0.0002316745,0.0001480762,0.00005118177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005591237,"about_ca_system_score_gemma":0.0002461944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2943745,"about_ca_topic_score_gemma":0.08241762,"domain_scores_codex":[0.9990926,0.0000318808,0.0001492185,0.0002538159,0.0002816241,0.0001908089],"domain_scores_gemma":[0.9986507,0.0001689014,0.00005765682,0.0009007917,0.00007659851,0.0001453925],"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":[2.779927e-7,0.00001682821,0.000005965091,0.00001124527,0.00001127131,0.000002824196,0.00001453072,0.0002834303,3.466002e-8,0.0008120879,0.9987429,0.00009863634],"study_design_scores_gemma":[0.00003443549,0.00001052411,0.0006794485,0.00001395308,0.000004799453,0.000005454664,5.957779e-7,0.0009764336,3.39176e-7,0.0002493287,0.9978535,0.0001712013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.82314e-7,0.0001051658,0.002902793,0.0002016876,0.000643854,0.0000442263,0.9951987,0.00002207927,0.0008812926],"genre_scores_gemma":[0.000002789559,0.00005006329,0.001744159,0.000150871,0.0002195523,0.000008384891,0.9975578,0.000007976071,0.0002584303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2119569,"threshold_uncertainty_score":0.9343259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561451281053157,"score_gpt":0.2732779503771642,"score_spread":0.2376634375666327,"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."}}