{"id":"W6908010933","doi":"10.25545/mmnbnm/qkpaqn","title":"082705-rri.csv","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.001533291,0.003917809,0.002548028,0.005083813,0.001530374,0.004703443,0.004589607,0.003961425,0.2595682],"category_scores_gemma":[0.009439633,0.001106796,0.001840254,0.008207919,0.0009220264,0.00267805,0.003357169,0.002512125,0.3943498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070797,"about_ca_system_score_gemma":0.002976611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387325,"about_ca_topic_score_gemma":0.03557702,"domain_scores_codex":[0.9982393,0.0003318103,0.0001881806,0.0005514448,0.0003653507,0.0003239533],"domain_scores_gemma":[0.9965441,0.001030345,0.0002558654,0.0009829496,0.0007457426,0.0004410986],"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":[0.00004383645,0.00001223194,0.0001093051,0.0004511076,0.00001452241,0.000006907661,0.000009970624,0.0001022896,0.00005869205,0.0002326307,0.9979593,0.0009992433],"study_design_scores_gemma":[0.0003461472,0.00002767231,0.0009766287,0.0002898959,0.00002700992,0.00003481151,0.00005461708,0.000349913,0.0003105742,0.001187846,0.9963643,0.00003070904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005864342,0.00009678453,0.00004938106,0.00008618676,0.00004396472,0.00001150206,0.9978533,0.0007880239,0.001012062],"genre_scores_gemma":[0.0001980401,0.00006137769,0.0001648896,0.00006838328,0.0000123276,0.00005299289,0.998328,0.0001805385,0.0009333693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7404318,"threshold_uncertainty_score":0.8683421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423752195598259,"score_gpt":0.2791376063217413,"score_spread":0.2649000843657587,"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."}}