{"id":"W6945552838","doi":"10.25545/4upj00/rujpd1","title":"sabs.m","year":2023,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001998087,0.005452835,0.002757493,0.005752627,0.002014686,0.005439943,0.005698599,0.004890863,0.1795854],"category_scores_gemma":[0.01123598,0.001452146,0.002657,0.007183024,0.001073924,0.00344594,0.003996714,0.00313264,0.3192419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006043,"about_ca_system_score_gemma":0.003095291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052476,"about_ca_topic_score_gemma":0.03069494,"domain_scores_codex":[0.9979948,0.0004564516,0.0001666238,0.0006975177,0.0003786019,0.0003060178],"domain_scores_gemma":[0.9965389,0.0009706927,0.0002173778,0.001227702,0.0006040778,0.000441301],"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":[0.00007090589,0.00001820601,0.0001567278,0.00063557,0.00002977631,0.00001223516,0.00001756916,0.0001795823,0.00008971641,0.0003228834,0.9968069,0.001659961],"study_design_scores_gemma":[0.0004103346,0.0000469119,0.001024801,0.0003745783,0.00003852161,0.00007071573,0.00007914395,0.0009535464,0.0005045711,0.002103858,0.9943515,0.00004151482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001379718,0.0002402949,0.0001351861,0.0001764921,0.0001009731,0.00001944508,0.9947186,0.00298473,0.001486399],"genre_scores_gemma":[0.0003560421,0.0001042003,0.000395805,0.0001011225,0.00001837217,0.00006866203,0.9976521,0.0003590937,0.0009446866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8204147,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468034378348331,"score_gpt":0.2934134220192295,"score_spread":0.2587330782357462,"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."}}