{"id":"W3214838052","doi":"10.5206/mt.v1i2.14351","title":"Problems, Puzzles, and Challenges","year":2021,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computation; Computer science; Data science; Mathematical economics; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008064701,0.00005818022,0.00008315172,0.00004537413,0.0001302339,0.00009619504,0.0001538548,0.00002643506,0.00005941387],"category_scores_gemma":[0.000004457129,0.00005730206,0.00003566849,0.0002032794,0.00001865977,0.0002318707,0.00001432404,0.00006930822,0.00002379238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006104638,"about_ca_system_score_gemma":0.00003282815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002656153,"about_ca_topic_score_gemma":0.0002731998,"domain_scores_codex":[0.9994332,0.00003105998,0.00008261371,0.0002462587,0.00008988452,0.0001170398],"domain_scores_gemma":[0.9995371,0.00003191102,0.00001401811,0.000327623,0.000031989,0.00005733272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001085652,0.0002448089,0.00007877767,0.0001369834,0.0001705688,0.0000604671,0.003092433,0.0004779154,0.002350223,0.0363979,0.0009123819,0.9560764],"study_design_scores_gemma":[0.0006288857,0.00005866034,0.003406192,0.00006907691,0.0001119544,0.0002443435,0.001034981,0.03821094,0.005095258,0.00506464,0.945549,0.0005261232],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006976831,0.005474771,0.9744318,0.01676538,0.00009257896,0.00002581709,0.00001434553,0.0001433326,0.0023543],"genre_scores_gemma":[0.9106738,0.01123504,0.0728894,0.0002546922,0.00005702673,0.00003032878,0.00001845022,0.00001258578,0.004828668],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9555503,"threshold_uncertainty_score":0.233671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04529028475862117,"score_gpt":0.2181544542287218,"score_spread":0.1728641694701006,"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."}}