{"id":"W6977436445","doi":"10.71842/41nx-h146","title":"CWS-Ontario Winisk and Sutton River Systems 2022-2023","year":2024,"lang":"en","type":"dataset","venue":"BirdsCanada_Repo","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Natural (archaeology); Shore; Vegetation (pathology); Sinkhole","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":["insufficient_payload"],"category_scores_codex":[0.0009595255,0.001245305,0.001394575,0.001015171,0.0002939921,0.0007762504,0.0009026077,0.0009924084,0.001307473],"category_scores_gemma":[0.000148405,0.001190139,0.0002705507,0.0008961783,0.0003691293,0.0002138133,0.0007918036,0.001807926,0.02641615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003329266,"about_ca_system_score_gemma":0.004186975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8942848,"about_ca_topic_score_gemma":0.9432663,"domain_scores_codex":[0.9932929,0.0002770557,0.001102701,0.001966702,0.002165418,0.001195222],"domain_scores_gemma":[0.9960134,0.0001773101,0.0005632106,0.002265827,0.0002003055,0.0007799409],"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":[0.00004563088,0.00004638555,0.0001205988,0.001106673,0.0005904806,0.004572102,0.0000787908,0.00001197219,0.00004182427,0.00003562477,0.9932813,0.00006859285],"study_design_scores_gemma":[0.0004005853,0.00009659943,0.0004274581,0.0006733217,0.0009438182,0.001309839,0.00009298054,0.00004389465,0.000005498169,0.00004433077,0.9946844,0.001277255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005972925,0.009071596,4.095358e-7,0.00006276331,0.007376078,0.001144448,0.9793537,0.0003483124,0.002045447],"genre_scores_gemma":[0.0003493392,0.0003354983,0.00001814108,0.0001202686,0.001075481,0.0002206881,0.9722739,0.0004148164,0.0251919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04898155,"threshold_uncertainty_score":0.9996055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180347173249132,"score_gpt":0.230146549569789,"score_spread":0.2183430778372977,"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."}}