{"id":"W4398956010","doi":"10.7910/dvn/v1rjpf/acdenb","title":"cbb20160311_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":"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":[0.0004703705,0.001047591,0.001056584,0.0004587583,0.000211616,0.0003148181,0.002614378,0.000736682,0.7479162],"category_scores_gemma":[0.001134699,0.001091113,0.0003606332,0.0006658674,0.000304361,0.0006860711,0.002032484,0.001476519,0.9997454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003515095,"about_ca_system_score_gemma":0.0005268592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006911178,"about_ca_topic_score_gemma":0.0003206789,"domain_scores_codex":[0.9950579,0.0003129535,0.0007977669,0.001567612,0.001258283,0.001005484],"domain_scores_gemma":[0.9945445,0.0001454739,0.0006411822,0.003737618,0.0001521459,0.0007790589],"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":[0.0001858472,0.0001590743,0.000002066815,0.0002710889,0.0003092771,0.001206666,0.00002102363,0.000002812672,0.0001155536,0.00003474494,0.9976078,0.00008402028],"study_design_scores_gemma":[0.001051756,0.00009317707,0.00001148686,0.0001575916,0.0006267355,0.00006962069,0.00004949684,0.00001702886,0.00004304565,0.00002170878,0.9966899,0.001168407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001287872,1.07469e-7,0.00001195056,0.000002171626,0.001420542,0.0006953964,0.996461,0.0005230506,0.000884434],"genre_scores_gemma":[0.00000116796,0.0002377645,0.0004415075,0.001366107,0.001391127,0.00008091285,0.9955838,0.0002697019,0.0006278912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2518292,"threshold_uncertainty_score":0.9991539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449904422733011,"score_gpt":0.2544277501368269,"score_spread":0.2299287059094968,"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."}}