{"id":"W6958785602","doi":"10.7281/t1/bmathh/c5oqrv","title":"21_D1.tar.011","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Quality (philosophy); Compression (physics); Table (database)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001208302,0.002292869,0.001467207,0.00384723,0.001064486,0.00296941,0.003114835,0.002236523,0.3228755],"category_scores_gemma":[0.007102869,0.000960297,0.00148734,0.006336492,0.0005163727,0.001699759,0.002360726,0.001818586,0.3083241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925896,"about_ca_system_score_gemma":0.002699702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02882157,"about_ca_topic_score_gemma":0.04062363,"domain_scores_codex":[0.9987669,0.000185675,0.0001692132,0.0003716523,0.000254459,0.0002521296],"domain_scores_gemma":[0.996722,0.0009772556,0.0002476438,0.0007732034,0.000898791,0.0003811868],"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":[0.00004704754,0.00001616481,0.0002216202,0.0002987412,0.00001068553,0.000008251043,0.00001039221,0.0001039384,0.00007792901,0.0001964937,0.9982247,0.0007841852],"study_design_scores_gemma":[0.000435971,0.00003299144,0.003376049,0.0002197851,0.00002781835,0.00004749842,0.00009427506,0.0004273167,0.0005633041,0.001220244,0.9935198,0.00003487854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004150602,0.00001174587,0.00002697875,0.00003447713,0.00001559236,0.000008169318,0.999163,0.0002614936,0.0004369367],"genre_scores_gemma":[0.0002303653,0.00002089204,0.0001340045,0.0000350727,0.000007958695,0.00005302623,0.9985837,0.0001377245,0.0007972221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6771245,"threshold_uncertainty_score":0.9658359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754237234952073,"score_gpt":0.3137460535752361,"score_spread":0.1383223300800287,"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."}}