{"id":"W194037823","doi":"","title":"An Improved Method for Finding Knight Covers.","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Knight; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747802,0.0001619581,0.0002002042,0.0001820733,0.0001910488,0.0001767024,0.0008542605,0.0001356806,0.00001680711],"category_scores_gemma":[0.0001145828,0.0001666049,0.00009711019,0.0003689405,0.00002407823,0.0007314117,0.0001065971,0.0001470461,0.00002315534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000931656,"about_ca_system_score_gemma":0.00005755309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002482484,"about_ca_topic_score_gemma":0.000005600091,"domain_scores_codex":[0.9985648,0.00007071369,0.0002865389,0.0004501251,0.0001927174,0.0004350719],"domain_scores_gemma":[0.9985405,0.0004097468,0.0001223884,0.0005831019,0.0001731159,0.0001711398],"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":[0.00001881027,0.0001495198,0.0001135479,0.00001369007,0.0000202075,0.000009766466,0.00035,9.195428e-7,0.02028126,0.8123286,0.001956981,0.1647567],"study_design_scores_gemma":[0.0009512965,0.0004683889,0.0003638157,0.00001678769,0.00001009113,0.0000131513,0.0000307566,0.01895582,0.3455388,0.6260919,0.007231127,0.0003280667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01916405,0.00002346177,0.976456,0.000169598,0.001167736,0.0004565876,0.000004459913,0.0006810288,0.001877069],"genre_scores_gemma":[0.5860541,0.000002742664,0.4133382,0.0003849372,0.00001716482,0.00004398651,0.000007994478,0.00001729399,0.0001334963],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5668901,"threshold_uncertainty_score":0.679395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730990579644255,"score_gpt":0.3130105210949166,"score_spread":0.295700615298474,"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."}}