{"id":"W3091973789","doi":"10.2139/ssrn.3314563","title":"Landscape of the &lt;i&gt;Plasmodium&lt;/i&gt; Interactome","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Malaria Research and Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Interactome; Biology; Ecology; Computational biology; Genetics","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":[0.0005790353,0.0004299347,0.0007463813,0.001424071,0.0006917917,0.002097982,0.0005152097,0.0007543988,0.01177339],"category_scores_gemma":[0.001316287,0.0002688853,0.0004768801,0.001700117,0.0006599991,0.001433526,0.001440337,0.001047436,0.002571695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134964,"about_ca_system_score_gemma":0.0008273204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881815,"about_ca_topic_score_gemma":0.003302427,"domain_scores_codex":[0.9995862,0.00006303666,0.00002315791,0.0001751518,0.00008496096,0.00006754654],"domain_scores_gemma":[0.9991689,0.0003058293,0.0001810655,0.00007553321,0.000105988,0.0001626898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001615645,0.00009319802,0.1101158,0.006565034,0.001666535,0.003125153,0.001805489,0.008578119,0.2099959,0.1522972,0.08970417,0.4144379],"study_design_scores_gemma":[0.00006822431,0.000299105,0.2208055,0.001307567,0.000907944,0.003126896,0.001498793,0.0135375,0.01353865,0.08858042,0.656122,0.0002074939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5487134,0.1432974,0.04616476,0.04293096,0.001036594,0.0001098859,0.09757057,0.00369416,0.1164822],"genre_scores_gemma":[0.8823393,0.04066443,0.01641217,0.005071387,0.0004557849,0.0001116575,0.03717875,0.0004892616,0.01727722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177339,"threshold_uncertainty_score":0.03938586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00535678420454033,"score_gpt":0.2402620063066476,"score_spread":0.2349052221021073,"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."}}