{"id":"W6961284452","doi":"10.14288/1.0362707","title":"Sailings, 1927","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); TRIPS architecture; Power (physics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000536244,0.0009896735,0.0003812005,0.002504854,0.006406158,0.00382106,0.0004844224,0.001586668,0.1083536],"category_scores_gemma":[0.002186314,0.0004604154,0.00029249,0.001798557,0.002335651,0.003030162,0.002320522,0.002816122,0.05865812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750939,"about_ca_system_score_gemma":0.002639053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0435147,"about_ca_topic_score_gemma":0.1391037,"domain_scores_codex":[0.9994971,0.00008375658,0.00002877222,0.0001193144,0.0001585655,0.0001125265],"domain_scores_gemma":[0.9996322,0.00007036644,0.00002456331,0.0000290191,0.0001485648,0.00009524448],"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":[0.0001065428,0.00002225886,0.0007813877,0.00009237801,0.000005041026,0.0003970689,0.004052251,0.00007438982,0.00019029,0.07792381,0.7796865,0.1366681],"study_design_scores_gemma":[0.000001545622,0.000003671651,0.000248671,0.00004092991,5.766771e-7,0.00008246862,0.0002635814,0.000007446678,0.00003297737,0.001162605,0.9981523,0.000003155369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003876851,0.02123123,0.001101281,0.01528708,0.01040121,0.0000808061,0.00245568,0.0002094572,0.9453564],"genre_scores_gemma":[0.01571608,0.005310762,0.0004634802,0.001717675,0.0007706007,0.0000379354,0.0005292742,0.00014609,0.9753081],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1083536,"threshold_uncertainty_score":0.3624789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147212092046676,"score_gpt":0.2693791005099961,"score_spread":0.2546578913053286,"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."}}