{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346815,0.0009118367,0.0007783511,0.002935237,0.0008368507,0.001500421,0.002090224,0.0009479189,0.03856468],"category_scores_gemma":[0.005112645,0.000647339,0.0006012239,0.008099804,0.0002995218,0.0009044088,0.001576164,0.001105915,0.03448939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004828507,"about_ca_system_score_gemma":0.00671366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6183948,"about_ca_topic_score_gemma":0.7318757,"domain_scores_codex":[0.9989691,0.0001288275,0.0001051463,0.0001849297,0.0003641113,0.000247814],"domain_scores_gemma":[0.9970816,0.0003317003,0.0003610403,0.0003319987,0.001510273,0.0003835069],"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":[0.00002518388,0.00001180805,0.002087845,0.0001096053,0.00001183694,0.00001051128,0.00003601763,0.00007028551,0.00003658385,0.0002611924,0.9955568,0.001782468],"study_design_scores_gemma":[0.0001372967,0.00001825819,0.05765612,0.0001656165,0.00001772754,0.00002700132,0.0004436777,0.0004453212,0.000247857,0.0003596774,0.9404473,0.0000341053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003587751,0.00001438384,0.000034538,0.00009067343,0.000008011017,0.00001274078,0.9985807,0.00005496843,0.0008453247],"genre_scores_gemma":[0.0008201262,0.00002732542,0.0001589361,0.00006385372,0.000005496151,0.0000983798,0.9968588,0.00002353023,0.001943612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3816052,"threshold_uncertainty_score":0.7677051,"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."}}