{"id":"W6892589390","doi":"10.5203/zqmd-8695","title":"Manitoba Agricultural Drains, Habitat Score","year":2019,"lang":"en","type":"dataset","venue":"UMANCEOS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Agriculture; Habitat; Agricultural productivity; Extensive farming","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":[0.000207687,0.0009307768,0.0009139495,0.000290392,0.0001899345,0.0002387264,0.001594249,0.0006472463,0.0009454213],"category_scores_gemma":[0.000126981,0.0007311151,0.0003391907,0.0004280807,0.0001819277,0.000365247,0.0004354994,0.001176052,0.2842543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006449759,"about_ca_system_score_gemma":0.0001497805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004325381,"about_ca_topic_score_gemma":0.009434667,"domain_scores_codex":[0.9962365,0.0001267023,0.0005556939,0.001104079,0.001025075,0.0009519649],"domain_scores_gemma":[0.9969782,0.00008769423,0.0005789281,0.001931429,0.0002197669,0.0002040413],"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":[0.00003010055,0.0001038676,0.0001521947,0.0003903575,0.0001285049,0.00007638476,0.00001939177,0.00001316655,0.0001270827,0.00002038292,0.9988592,0.00007942634],"study_design_scores_gemma":[0.00066656,0.0001044898,0.009353803,0.0005129759,0.0001856775,0.00006102036,0.0001137163,0.000002138378,0.00002904277,0.00002397005,0.987878,0.001068562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002691701,0.0008499554,3.410237e-7,0.00004496439,0.002625574,0.001243702,0.9912952,0.0002500393,0.00099851],"genre_scores_gemma":[0.00016793,0.0001184503,0.00006043342,0.0002876137,0.001889039,0.000145457,0.9948082,0.0001576434,0.00236521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2833088,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148389914550522,"score_gpt":0.2595942426810406,"score_spread":0.2281103435355354,"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."}}