{"id":"W6974156375","doi":"10.58052/ieagr00am","title":"2022-03-07-Yukon-kit-47-archive Grab Liquid>aqueous river water","year":2022,"lang":"en","type":"other","venue":"System for Earth Sample Registration (SESAR)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Water resources; Work (physics); Water quality; Shore","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001472675,0.001499699,0.001756845,0.001138137,0.0008071327,0.0003590907,0.001189965,0.0007968975,0.0250084],"category_scores_gemma":[0.0002815103,0.001357161,0.001022926,0.0005148372,0.0004454043,0.0003023499,0.0003059286,0.0008524082,0.01279983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007071961,"about_ca_system_score_gemma":0.0006451155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006117051,"about_ca_topic_score_gemma":0.008550437,"domain_scores_codex":[0.9914694,0.0009854001,0.001701924,0.002194489,0.00193093,0.001717829],"domain_scores_gemma":[0.9944041,0.000455541,0.001758937,0.002595114,0.0003020623,0.0004842108],"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":[0.0009090708,0.0002534041,0.00007174645,0.003253343,0.0009194958,0.0001427153,0.0009738901,0.0001664656,0.001551629,0.01086312,0.9802914,0.0006036889],"study_design_scores_gemma":[0.002063806,0.0009554278,0.00002642367,0.0005374853,0.0003884194,0.0002449285,0.0006968907,0.0002492236,0.0008177366,0.0004270835,0.9919856,0.001607034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008709977,0.003630569,0.02831151,0.0004486867,0.007350405,0.02124053,0.09474898,0.007381252,0.8360171],"genre_scores_gemma":[0.01939223,0.0001185827,0.007310656,0.0001712869,0.004315238,0.004191907,0.05771014,0.006027664,0.9007623],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06474523,"threshold_uncertainty_score":0.9997752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000220526155339,"score_gpt":0.2495279753624386,"score_spread":0.2295257701008853,"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."}}