{"id":"W4393630147","doi":"10.5281/zenodo.10355881","title":"Dingle Gates, October Morning","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Morning; Computer science; Medicine; Internal medicine","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":[0.0003264224,0.001334505,0.0007234273,0.00186411,0.002082957,0.002335028,0.001022199,0.000747641,0.09311871],"category_scores_gemma":[0.001793744,0.0003611809,0.0005375722,0.003750719,0.0003446029,0.00111318,0.001332999,0.001136509,0.1245919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773287,"about_ca_system_score_gemma":0.003395541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3717639,"about_ca_topic_score_gemma":0.7553348,"domain_scores_codex":[0.9996138,0.00003203775,0.00001728185,0.0001114083,0.0001202338,0.0001052519],"domain_scores_gemma":[0.9993114,0.00005021183,0.00003587564,0.0001328742,0.0002912193,0.0001782964],"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":[0.00002702685,0.000004685896,0.0005029043,0.00006304009,0.000003157067,0.00001744168,0.00004162009,0.00002907363,0.0000442247,0.0003047936,0.9964567,0.002505353],"study_design_scores_gemma":[0.0000100568,0.000003659324,0.005420459,0.00005332673,0.000003192149,0.00002051136,0.0001793144,0.00006907023,0.0001356208,0.0002326956,0.9938643,0.000007778668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008626159,0.0002186391,0.0001185668,0.000213147,0.0001676513,0.00002013644,0.9840132,0.0007049937,0.01368106],"genre_scores_gemma":[0.001915686,0.0002010004,0.0003639696,0.00007452871,0.00002262812,0.0000305883,0.9801559,0.0001845393,0.0170511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6282361,"threshold_uncertainty_score":0.7392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426510476823005,"score_gpt":0.2525311848905868,"score_spread":0.2182660801223568,"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."}}