{"id":"W7054795607","doi":"","title":"Auxiliary Selection in Italo-Canadian Heritage Speakers","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Matching (statistics); Field (mathematics); Subject (documents); Set (abstract data type)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005257883,0.0004181567,0.0004146733,0.0004138904,0.00005434104,0.00008330278,0.0007310403,0.0005089482,0.5250834],"category_scores_gemma":[0.0001575797,0.0005431875,0.0001351174,0.0004899142,0.00005992192,0.00009980083,0.0001747727,0.0007412188,0.7424071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500592,"about_ca_system_score_gemma":0.0001938491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01811278,"about_ca_topic_score_gemma":0.06475357,"domain_scores_codex":[0.9974445,0.0001220619,0.0003927891,0.001337206,0.0002073991,0.0004961103],"domain_scores_gemma":[0.9981084,0.00005995235,0.00007917616,0.001308794,0.00001749184,0.0004262216],"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":[0.000006460979,0.00004666656,0.001595145,0.0002013257,0.0001301596,0.00003983809,0.0003246907,0.002015959,0.001645926,0.0004576164,0.9902956,0.003240546],"study_design_scores_gemma":[0.0002667488,3.614637e-7,0.002088838,0.0001283286,0.00003348073,0.00001158101,0.00004279072,0.003717754,0.000664319,0.000364028,0.9921513,0.000530504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002472956,0.000005943818,0.0009643094,0.0001966052,0.0002268654,0.0009842678,0.00009339744,0.000785914,0.9964954],"genre_scores_gemma":[0.02080189,0.0002201096,0.001495012,0.0001508248,0.0002227495,0.0003821646,0.0001185196,0.0005804932,0.9760282],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2173238,"threshold_uncertainty_score":0.999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009311629636733687,"score_gpt":0.2078186584508229,"score_spread":0.1985070288140892,"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."}}