{"id":"W2067864803","doi":"10.1007/bf03025322","title":"Looking at Dots","year":2002,"lang":"en","type":"article","venue":"The Mathematical Intelligencer","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002178226,0.0001169755,0.0001141205,0.00002942552,0.000307945,0.00008396399,0.0003662352,0.00004972698,0.04015377],"category_scores_gemma":[0.0004150096,0.00006657073,0.00006510456,0.0001929028,0.0001974454,0.00007537757,0.0001221656,0.0001531119,0.02046801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003258755,"about_ca_system_score_gemma":0.0000027157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.842776e-7,"about_ca_topic_score_gemma":5.32325e-7,"domain_scores_codex":[0.9989306,0.00008024513,0.0002117729,0.0002208074,0.0003092084,0.0002474105],"domain_scores_gemma":[0.9992388,0.0003451227,0.00004956798,0.0002743613,0.00001667499,0.00007544031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002963021,0.0003651449,0.00000604112,0.0001208692,0.000007678699,0.00002196838,0.01384705,0.00005026793,0.4165156,0.4914828,0.009073949,0.06847902],"study_design_scores_gemma":[0.00006255975,0.00007099427,0.000002845816,0.00006524292,0.00001391016,0.0001300426,0.0002024374,0.05636191,0.6799427,0.254552,0.008376105,0.0002192882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4379735,0.0001979578,0.1552957,0.005728266,0.0007309233,0.0006671568,0.00000588143,0.0006850821,0.3987155],"genre_scores_gemma":[0.9755925,0.00004474631,0.0003019295,0.002516857,0.00007389761,0.00001582952,1.143899e-7,0.00001652763,0.02143763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5376189,"threshold_uncertainty_score":0.9802946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852616164962858,"score_gpt":0.354400612645097,"score_spread":0.1691389961488112,"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."}}