{"id":"W1967235662","doi":"10.1038/nmeth.2490","title":"Plotting symbols","year":2013,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Ambiguity; Computer science; Computational biology; Artificial intelligence; Biology; Programming language","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":[0.0008159625,0.002071151,0.0008076348,0.004642441,0.001277875,0.004080471,0.0016441,0.001332097,0.3765165],"category_scores_gemma":[0.01738337,0.000587248,0.0008822898,0.005223702,0.0009103228,0.003119509,0.002131606,0.002361489,0.1783538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008464838,"about_ca_system_score_gemma":0.001378781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899303,"about_ca_topic_score_gemma":0.001455902,"domain_scores_codex":[0.9988849,0.0002927746,0.00008296776,0.0002926917,0.0003412895,0.0001054626],"domain_scores_gemma":[0.9926109,0.003039766,0.0004004133,0.001617269,0.002022,0.0003097225],"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":[0.00039944,0.00006199827,0.0009083078,0.0006144828,0.00002226697,0.0001955233,0.0007552555,0.001942239,0.005458513,0.07402399,0.6768392,0.2387789],"study_design_scores_gemma":[0.00007866879,0.00004983758,0.000825114,0.0001938633,0.00002237382,0.0001803374,0.0002208123,0.005156655,0.00759497,0.03272291,0.9529063,0.00004823643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008108988,0.0009633778,0.4262272,0.003194007,0.008452573,0.0006318263,0.05496766,0.1690097,0.3284447],"genre_scores_gemma":[0.1107935,0.001940846,0.4284322,0.00199318,0.001699963,0.002138728,0.0532218,0.07699943,0.3227805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3765165,"threshold_uncertainty_score":0.8893235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009798851858909177,"score_gpt":0.3983818659813045,"score_spread":0.3885830141223954,"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."}}