{"id":"W2787490403","doi":"","title":"Elise Rasmussen, Finding Ana, Erin Stump Projects, Toronto, November 7 – 30, 2013","year":2014,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742382,0.0007085773,0.0003286663,0.001426479,0.0100441,0.003452065,0.001110016,0.00168556,0.1672817],"category_scores_gemma":[0.003015375,0.000441826,0.0002596618,0.001581024,0.001240805,0.001424806,0.002375463,0.002280055,0.03500092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02224288,"about_ca_system_score_gemma":0.02690337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7781126,"about_ca_topic_score_gemma":0.966179,"domain_scores_codex":[0.9987675,0.00009441091,0.00002331998,0.0001601822,0.0006364771,0.000318097],"domain_scores_gemma":[0.9964484,0.0001142161,0.00006713728,0.00006292401,0.001816718,0.001490613],"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":[0.00001327218,0.000005476745,0.0002884297,0.0000223666,0.000001003584,0.00002599011,0.0003120362,0.00001793643,0.0000491819,0.000718032,0.990539,0.00800727],"study_design_scores_gemma":[0.000003912745,0.00000458431,0.002363485,0.0000552767,0.000002391897,0.00001746862,0.001555578,0.0000242891,0.00009973328,0.0001440605,0.9957222,0.000007010989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01052492,0.05054729,0.002411939,0.3403321,0.03709549,0.0005952343,0.01983548,0.001807565,0.53685],"genre_scores_gemma":[0.009710305,0.004027208,0.0005811705,0.001742656,0.0004435299,0.0000355308,0.00115435,0.0001364509,0.9821687],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2218874,"threshold_uncertainty_score":0.5596131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006973014574090159,"score_gpt":0.1776513324381611,"score_spread":0.170678317864071,"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."}}