{"id":"W6926588751","doi":"10.21966/3nm8-av33","title":"Stream Event Sampling - Calvert Island - 2015-2018","year":2015,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Hydrograph; Watershed; Hydrology (agriculture); STREAMS; Sampling (signal processing); Storm; Event (particle physics); Streamflow","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003527304,0.0004888684,0.000794324,0.0001978723,0.000132026,0.00006333461,0.0003182822,0.0006442956,0.0009640846],"category_scores_gemma":[0.0004167484,0.0003525879,0.0002107464,0.0002025922,0.0001772985,0.0001502194,0.0002015681,0.0008514238,0.001247287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580589,"about_ca_system_score_gemma":0.0006330477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917342,"about_ca_topic_score_gemma":0.001559261,"domain_scores_codex":[0.9978424,0.00003364053,0.0004857742,0.000685863,0.0004953691,0.000457008],"domain_scores_gemma":[0.9981936,0.00002587306,0.0002096617,0.001028964,0.0002176797,0.0003242384],"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":[0.0001350162,0.0001698445,0.000003593743,0.0003716766,0.0001853207,0.0001407247,0.00001399767,0.000003708796,0.0006600075,0.000003720673,0.996545,0.001767383],"study_design_scores_gemma":[0.0007149206,0.0001663608,0.00001929286,0.0006759666,0.0005008747,0.0001995626,0.00000864694,0.000002916941,0.0007062563,0.00001898561,0.9965604,0.0004258205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005608217,0.001876065,0.00001419509,0.001486393,0.003677972,0.0006307701,0.9912543,0.0000670671,0.0004324227],"genre_scores_gemma":[0.0005240461,0.0009845088,0.0003875093,0.0009679268,0.003139087,0.000003315314,0.9911519,0.00003204207,0.002809671],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002377248,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04426149297878083,"score_gpt":0.3193860202773285,"score_spread":0.2751245272985477,"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."}}