{"id":"W6950479745","doi":"10.5683/sp2/pvotrn","title":"Human-HIV1 All-to-All Inter-Species Predictions using PIPE4, SPRINT, SPPS","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Carleton University","funders":"","keywords":"UniProt; Human proteins; Proteome; Human proteome project; Sequence (biology); Human immunodeficiency virus (HIV); Protein sequencing; Pattern recognition (psychology)","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":[0.001551538,0.003177319,0.001304423,0.00260734,0.001489401,0.001613483,0.002747025,0.002062334,0.02599594],"category_scores_gemma":[0.003894508,0.0006917801,0.002201219,0.002867275,0.000424751,0.001238776,0.001852334,0.001724202,0.03528912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315527,"about_ca_system_score_gemma":0.001657069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01291924,"about_ca_topic_score_gemma":0.02473873,"domain_scores_codex":[0.9986373,0.0001545276,0.000101617,0.0006635961,0.0002720408,0.0001708839],"domain_scores_gemma":[0.9989221,0.0003325668,0.00009821529,0.0003208727,0.0002014363,0.0001248044],"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":[0.0007396204,0.0001659798,0.009053183,0.001758415,0.0003169059,0.0002316878,0.00006457808,0.002331453,0.002414497,0.0007386181,0.9710199,0.01116521],"study_design_scores_gemma":[0.001406809,0.0003415426,0.04452877,0.0006834501,0.0003585178,0.001140455,0.0003414295,0.02166272,0.008892679,0.004898198,0.9155655,0.0001799716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003250988,0.0002667783,0.0004559555,0.0000926631,0.00006796519,0.00002712399,0.9924365,0.002295542,0.001106442],"genre_scores_gemma":[0.001857431,0.00004477509,0.0009020383,0.00003249666,0.000005946607,0.00003504955,0.9966794,0.0001123587,0.000330541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02599594,"threshold_uncertainty_score":0.08696508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770120911214114,"score_gpt":0.2719347533644669,"score_spread":0.2242335442523257,"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."}}