{"id":"W6961182979","doi":"10.14288/1.0217774","title":"Lake McArthur, near Lake Louise","year":2015,"lang":"en","type":"other","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":"Natural (archaeology); Shore; Vegetation (pathology); Feature (linguistics)","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":[0.0003060306,0.0004675542,0.0002604607,0.001944172,0.004379899,0.001973909,0.001101392,0.000542323,0.09994058],"category_scores_gemma":[0.0006945477,0.0002937958,0.0001878657,0.002943337,0.0006449008,0.0006040981,0.001465268,0.0005518958,0.01816598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005684441,"about_ca_system_score_gemma":0.01680191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9032149,"about_ca_topic_score_gemma":0.9830266,"domain_scores_codex":[0.9998029,0.000006277198,0.000003909714,0.00003413838,0.00008837122,0.00006449427],"domain_scores_gemma":[0.9995178,0.00002656923,0.00002273703,0.00002143682,0.0002183903,0.0001930256],"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":[0.0002945416,0.00006177367,0.03585965,0.0004064941,0.00002589627,0.001145916,0.0020244,0.0006219526,0.002553163,0.004962203,0.7728238,0.1792203],"study_design_scores_gemma":[0.00002421308,0.00001281383,0.0816656,0.0001689343,0.00001547154,0.0001929784,0.002893362,0.0006136018,0.0007197352,0.001059902,0.9126059,0.00002738107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07125993,0.003682443,0.005309024,0.004272005,0.0005554748,0.0004740442,0.1629499,0.006542163,0.7449551],"genre_scores_gemma":[0.06997711,0.001456738,0.0071284,0.00069361,0.00006414027,0.00009762862,0.06906557,0.0007550759,0.8507618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09994058,"threshold_uncertainty_score":0.3343346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129571253585637,"score_gpt":0.2433876893578096,"score_spread":0.2320919768219532,"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."}}