{"id":"W4398960554","doi":"10.7910/dvn/v1rjpf/dnneno","title":"blc20171016_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004778024,0.001046129,0.001061907,0.0004512215,0.0002259936,0.0003391675,0.002747568,0.0007367388,0.7694297],"category_scores_gemma":[0.001134944,0.001101066,0.000361216,0.0006058852,0.0003148603,0.0006712605,0.00206305,0.001509938,0.9997183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403772,"about_ca_system_score_gemma":0.0005271435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005382281,"about_ca_topic_score_gemma":0.0004645726,"domain_scores_codex":[0.9950883,0.0003004168,0.0007830508,0.001570706,0.001260764,0.000996792],"domain_scores_gemma":[0.9943051,0.0001407297,0.0006686114,0.003945841,0.0001546765,0.0007850028],"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":[0.0001817287,0.0001583294,0.000001570879,0.0002689086,0.0003139126,0.001270885,0.00002519969,0.00000325221,0.0001154444,0.00003147755,0.9975491,0.0000802182],"study_design_scores_gemma":[0.001047814,0.00009169561,0.00001012313,0.000150847,0.0006788177,0.00007093744,0.00005232377,0.00001890299,0.00004618115,0.00002061304,0.9966458,0.001165964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001370669,1.168005e-7,0.00001028637,0.000002299455,0.001333365,0.0006939289,0.9964497,0.0005037541,0.001005192],"genre_scores_gemma":[0.00000119725,0.0002335112,0.0003980013,0.001275238,0.001380643,0.0000769075,0.9956803,0.000263151,0.0006910519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2302887,"threshold_uncertainty_score":0.999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566295085639123,"score_gpt":0.2564481133934973,"score_spread":0.230785162537106,"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."}}