{"id":"W6921324268","doi":"10.7281/t1/bmathh/6o2aq8","title":"12_B1.tar.007","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); 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":["insufficient_payload"],"category_scores_codex":[0.001082818,0.002632163,0.001751013,0.004657501,0.001335049,0.003327339,0.003578639,0.002352425,0.3701453],"category_scores_gemma":[0.007912702,0.0009826157,0.001287809,0.009827447,0.0005489492,0.001868827,0.00239404,0.001804713,0.4127488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181727,"about_ca_system_score_gemma":0.002833481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03873543,"about_ca_topic_score_gemma":0.05424909,"domain_scores_codex":[0.9986609,0.0002081227,0.0001687354,0.0004123196,0.0002781348,0.0002718071],"domain_scores_gemma":[0.995822,0.001181167,0.0002737631,0.0009713209,0.001344977,0.000406828],"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":[0.00003492706,0.00001115152,0.0001332747,0.0002194788,0.000006464124,0.000006592611,0.000008680082,0.00006016834,0.00004674266,0.0001533267,0.9985672,0.0007518795],"study_design_scores_gemma":[0.0002593802,0.00002184045,0.002493323,0.000211355,0.0000202815,0.00003748754,0.00009385047,0.0002885097,0.0004146498,0.001126997,0.9950017,0.00003055547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003701539,0.00001451389,0.00003118081,0.00003717579,0.00001434619,0.000006386442,0.9989297,0.0003365974,0.0005930606],"genre_scores_gemma":[0.0001762533,0.00002185235,0.0001317827,0.00002723911,0.00000837145,0.0000436723,0.9984162,0.0001632118,0.001011423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6298547,"threshold_uncertainty_score":0.8984113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2178928147317361,"score_gpt":0.3993957561822695,"score_spread":0.1815029414505334,"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."}}