{"id":"W6931198879","doi":"10.5281/zenodo.45081","title":"HMMER2GO: HMMER2GO version 0.17.1","year":2016,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Context (archaeology); Identification (biology); Process (computing); Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.003732227,0.003554128,0.003197248,0.003931994,0.002175862,0.004556739,0.006036156,0.003176197,0.2478763],"category_scores_gemma":[0.01390741,0.003650077,0.002530322,0.004106166,0.0007720551,0.005342627,0.003859393,0.005211573,0.3148199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156489,"about_ca_system_score_gemma":0.002259115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004558736,"about_ca_topic_score_gemma":0.004651919,"domain_scores_codex":[0.9976527,0.0003175905,0.0003205891,0.0007115629,0.0006969105,0.0003005378],"domain_scores_gemma":[0.9959097,0.0009914129,0.0003445924,0.001312494,0.0009784222,0.0004633947],"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":[0.0009143928,0.00006880281,0.001019926,0.001393791,0.0001030723,0.0001925881,0.0001532047,0.0004323192,0.006334025,0.0009210966,0.9595165,0.02895015],"study_design_scores_gemma":[0.0002866167,0.00009335667,0.002488669,0.0003441887,0.0001405913,0.0006116297,0.00005570585,0.002240032,0.01653409,0.003259658,0.973684,0.000261447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003167658,0.001202692,0.04721212,0.001143163,0.001759544,0.0002367424,0.3659401,0.5670888,0.01224916],"genre_scores_gemma":[0.007890401,0.0007154161,0.02751411,0.0007758499,0.0002410791,0.0003947446,0.721761,0.2208295,0.01987792],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2478763,"threshold_uncertainty_score":0.8292288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016958215147761,"score_gpt":0.2549835241642921,"score_spread":0.2380253090165311,"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."}}