{"id":"W6969030238","doi":"10.5281/zenodo.5332006","title":"jangevaare/GeneticBitArrays.jl: v0.3.2","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Multicultural Education and Local Wisdom","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"","keywords":"Representation (politics); Sequence (biology); Identification (biology); Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004791147,0.0001838691,0.0002022961,0.0002001614,0.002160026,0.0008379418,0.0009930781,0.0002281567,0.4191099],"category_scores_gemma":[0.001147021,0.0001880468,0.00008635631,0.0005697246,0.0003775045,0.00006040627,0.0004293691,0.0003059183,0.01576625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042092,"about_ca_system_score_gemma":0.00002188725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000948136,"about_ca_topic_score_gemma":0.00006556787,"domain_scores_codex":[0.9976438,0.0006670695,0.0001998109,0.0004737287,0.0005871418,0.0004284875],"domain_scores_gemma":[0.998593,0.00002203525,0.0001361539,0.0004107133,0.0005020878,0.0003360652],"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":[0.000003908281,0.00007245017,4.167257e-7,0.00004219367,0.00003436905,0.000005758201,0.004340942,0.000001370866,0.000113768,0.004176817,0.9518037,0.0394043],"study_design_scores_gemma":[0.000178318,0.00002806915,0.00004347504,0.00009332859,0.00001536691,0.000007080727,0.003728082,0.000006815802,0.00001726082,0.0000353001,0.9956104,0.0002364984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005508368,0.0007954895,0.0001713139,0.002803197,0.0005239534,0.0004456485,0.0001273946,0.0009457308,0.9941322],"genre_scores_gemma":[0.004577783,0.0009800158,0.0004392007,0.0004269139,0.00153255,8.287323e-8,0.003316919,0.004503699,0.9842228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4033436,"threshold_uncertainty_score":0.999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06173314386652992,"score_gpt":0.3204861348114008,"score_spread":0.2587529909448709,"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."}}