{"id":"W6959105559","doi":"10.71842/4xfv-f610","title":"Northern Ontario Boreal Eskers Study 2014","year":2025,"lang":"en","type":"dataset","venue":"BirdsCanada_Repo","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boreal; Taiga; Glacial period; Climate change; Permafrost","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":[0.0008627772,0.001249445,0.001413849,0.0009455344,0.0003937304,0.0002569151,0.001977364,0.0006026429,0.001308822],"category_scores_gemma":[0.0002712992,0.00123918,0.0003701453,0.0007687137,0.0001419886,0.0001240465,0.0006955871,0.001613167,0.001453536],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007410843,"about_ca_system_score_gemma":0.01723563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879763,"about_ca_topic_score_gemma":0.9998899,"domain_scores_codex":[0.9929673,0.0004029129,0.001185411,0.001790496,0.002432356,0.00122151],"domain_scores_gemma":[0.9938737,0.0001563283,0.0008109417,0.004140301,0.0004592113,0.0005595597],"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":[0.0001237295,0.0007367565,0.01584137,0.00008514702,0.001036171,0.002067639,0.00008276192,0.00001840494,0.000001360191,0.000001992737,0.9797938,0.0002107921],"study_design_scores_gemma":[0.001086117,0.0002473674,0.01410685,0.00008712214,0.0009419814,0.00005645689,0.000178386,0.000001522284,0.000002674351,0.000008965739,0.9821789,0.001103612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001678787,0.0001858857,4.690966e-7,0.00005929502,0.001637566,0.002060612,0.9871018,0.0002904711,0.006985136],"genre_scores_gemma":[0.0006383123,0.00001090537,0.00001781517,0.000197209,0.0003086862,0.0002849249,0.9855996,0.0001522924,0.0127903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01191358,"threshold_uncertainty_score":0.9996041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951429108405383,"score_gpt":0.2484676989381673,"score_spread":0.2389534078541135,"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."}}