{"id":"W4254658414","doi":"10.1090/fic/058/02","title":"Schoof’s point counting algorithm","year":2010,"lang":"en","type":"other","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Point (geometry); Algorithm; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001411989,0.0002087694,0.0002364767,0.0001333069,0.00005383358,0.00007689335,0.0004964789,0.000191305,0.001533465],"category_scores_gemma":[0.0000203952,0.0001655103,0.00005228693,0.00012431,0.00003629977,0.0002816576,0.0003412676,0.0003008201,0.0007688727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001269221,"about_ca_system_score_gemma":0.00006191601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006918079,"about_ca_topic_score_gemma":0.0004173479,"domain_scores_codex":[0.9989086,0.0000153495,0.0001665362,0.0004321023,0.0002321989,0.0002452061],"domain_scores_gemma":[0.9987611,0.00001770141,0.0001607184,0.00095037,0.00003265049,0.00007742516],"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":[9.505937e-8,0.000008091733,0.000002073072,0.00002435457,0.00001251507,0.00001857321,0.00001561467,1.012359e-7,0.00003952674,0.1878386,0.6926419,0.1193986],"study_design_scores_gemma":[0.0000714113,0.000006603279,0.000001698268,0.0000806969,0.000001702831,0.00002080112,0.000008755334,0.0008290584,0.00009139944,0.0001894359,0.9984637,0.0002347754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[2.466172e-8,0.0001823351,0.5471421,0.00005863799,0.0009021737,0.00008003503,0.00002320929,0.0004675491,0.4511439],"genre_scores_gemma":[3.438995e-7,0.0000186968,0.5160611,0.000142301,0.0003753282,0.000007774093,0.00001135988,0.00008280516,0.4833002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3058218,"threshold_uncertainty_score":0.9993793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006925289132610386,"score_gpt":0.2328207926076977,"score_spread":0.2258955034750873,"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."}}