{"id":"W2008418270","doi":"10.1145/1182553.1182565","title":"WWCA 2006 abstracts","year":2006,"lang":"en","type":"article","venue":"ACM communications in computer algebra","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Library science; China; State (computer science); Sociology; Political science; Art history; History; Law; Mathematics; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0003098329,0.0002025769,0.0002169138,0.0002392485,0.0002422058,0.0001893985,0.007136374,0.00009132431,0.00001103983],"category_scores_gemma":[0.0000423506,0.0002068318,0.00007734227,0.0008223806,0.0001402976,0.0007287186,0.003068369,0.0003794061,0.0002380412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007657473,"about_ca_system_score_gemma":0.00006276262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001841191,"about_ca_topic_score_gemma":0.0002588941,"domain_scores_codex":[0.9982811,0.0001480929,0.0005439142,0.0004184681,0.000210986,0.0003974278],"domain_scores_gemma":[0.9933525,0.0005715871,0.0001528984,0.005775036,0.00008373455,0.00006423459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002740729,0.0006586153,0.005219448,0.00001166893,0.00001492916,0.00002961975,0.000322049,0.005828421,0.0001688516,0.8241491,0.007793,0.1558016],"study_design_scores_gemma":[0.0007636135,0.0000702133,0.1477742,0.00005556786,0.000005874666,0.00006150169,0.000009947232,0.0820557,0.0003007772,0.7161434,0.05214554,0.0006136158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03304959,0.00169275,0.94222,0.008922114,0.0004615563,0.0003407431,0.000004573998,0.0006495603,0.01265913],"genre_scores_gemma":[0.556792,0.00006155561,0.4423223,0.0006090829,0.00007961989,0.00002840992,0.00001899924,0.000009643777,0.00007843603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5237424,"threshold_uncertainty_score":0.9982355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749900231374008,"score_gpt":0.2826450610855237,"score_spread":0.2551460587717836,"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."}}