{"id":"W4246081878","doi":"10.1163/2468-1733_shafr_sim040140389","title":"Grey, Bryce, and the Settlement of Canadian-American Differences, 1905-1911","year":2017,"lang":"en","type":"dataset","venue":"The SHAFR Guide Online","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Archaeology; Geography; History; Computer science","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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001321438,0.0001895607,0.0004870021,0.0005807751,0.002270848,0.0003890835,0.001779999,0.0001315442,0.001011498],"category_scores_gemma":[0.0007298285,0.0001372221,0.0001305619,0.0002912292,0.006692405,0.0000657605,0.0001674965,0.0004073817,0.00005800322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479583,"about_ca_system_score_gemma":0.003220678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991674,"about_ca_topic_score_gemma":0.9999405,"domain_scores_codex":[0.9980892,0.0003551511,0.0003645768,0.0002633707,0.0004962476,0.0004314716],"domain_scores_gemma":[0.997814,0.0002439565,0.0005445049,0.0009769441,0.0001189082,0.0003016895],"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":[0.00001019798,0.00001449305,0.00002966575,0.00001975573,0.00005861713,0.000008060045,0.000992447,1.587243e-7,1.485107e-7,0.0009127018,0.994885,0.003068779],"study_design_scores_gemma":[0.0002507052,0.0000220933,0.002158666,0.00005867874,0.0001678645,0.000002085113,0.0008485562,0.00000207386,4.316852e-8,0.0002849967,0.9960346,0.0001695989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002270404,0.001465648,2.762148e-7,0.02201244,0.0004969406,0.0003744727,0.969113,0.000008403091,0.006301755],"genre_scores_gemma":[0.0004409704,0.0285221,0.00008101385,0.003125304,0.001718815,0.00004168459,0.9138001,0.00003058134,0.0522394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05531289,"threshold_uncertainty_score":0.9999017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239961031187552,"score_gpt":0.3014957741428999,"score_spread":0.2774996710241446,"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."}}