{"id":"W2232530087","doi":"10.1038/nmeth.3699","title":"Pathways","year":2015,"lang":"en","type":"article","venue":"Nature Methods","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computational biology; Chemistry; Biology; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130755,0.00005953219,0.00008106021,0.00006035242,0.00002673898,0.0000961421,0.0005828155,0.0001145404,0.000008257893],"category_scores_gemma":[0.0005695139,0.00004793874,0.00002740897,0.000437277,0.00001208912,0.0002298949,0.0001680544,0.0002048756,0.00004930025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001653622,"about_ca_system_score_gemma":0.00005731707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001114037,"about_ca_topic_score_gemma":4.170977e-7,"domain_scores_codex":[0.9992464,0.00020059,0.0000884913,0.0001719407,0.0001834427,0.0001091907],"domain_scores_gemma":[0.9992652,0.00006639843,0.00003396824,0.0004035387,0.0001122897,0.0001186225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[8.228202e-7,0.00002337434,0.0000589988,0.00000286447,0.000005661155,0.000006594209,0.0003589907,0.00001294432,0.0004674021,0.8163789,0.03561662,0.1470668],"study_design_scores_gemma":[0.0001797899,0.00002472698,0.0001044594,0.000003689124,0.000003256819,0.000008803349,0.00002414887,0.08155369,0.00656081,0.04221455,0.8692056,0.0001164528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000363804,0.0003851702,0.9787329,0.0005404187,0.0007490789,0.00002470716,0.00000173908,0.0001473351,0.01938221],"genre_scores_gemma":[0.006828588,0.000005274501,0.9897454,0.00259577,0.00008843658,0.000001089886,0.000006083828,0.000004294178,0.0007250127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.833589,"threshold_uncertainty_score":0.1954885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09044882062203148,"score_gpt":0.4474333865705118,"score_spread":0.3569845659484803,"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."}}