{"id":"W6921022441","doi":"10.6084/m9.figshare.26596100","title":"Additional file 6 of Matchtigs: minimum plain text representation of k-mer sets","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Representation (politics); Set (abstract data type); Plain text; Window (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003437901,0.001393295,0.002286489,0.005571655,0.001315467,0.00364254,0.003829963,0.002036858,0.8934869],"category_scores_gemma":[0.05068258,0.001224839,0.001772575,0.007335483,0.0004889588,0.004480021,0.002081092,0.001655892,0.4713698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704847,"about_ca_system_score_gemma":0.00297002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386296,"about_ca_topic_score_gemma":0.006313566,"domain_scores_codex":[0.997869,0.0003443135,0.0003670452,0.0005078936,0.0007094738,0.0002022229],"domain_scores_gemma":[0.9674457,0.01889709,0.001826285,0.003520398,0.007125691,0.001184818],"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":[0.0001524691,0.00001413226,0.0001730408,0.00202066,0.00002628554,0.00002403881,0.00001922017,0.00006994234,0.0001317653,0.0004565241,0.9889119,0.00800007],"study_design_scores_gemma":[0.000531782,0.00006775941,0.002378725,0.001343265,0.00009079775,0.0002471823,0.00006104663,0.0002537666,0.0008877629,0.003860226,0.9902113,0.0000663782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0001330061,0.0003958614,0.001108969,0.000717168,0.0004556,0.0001787369,0.9894456,0.002760996,0.004804051],"genre_scores_gemma":[0.004792362,0.001266569,0.008774769,0.001689718,0.0009326335,0.001400437,0.9386572,0.006674537,0.03581186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8934869,"threshold_uncertainty_score":0.151928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038355100818139,"score_gpt":0.2753442938230059,"score_spread":0.2449607428148245,"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."}}