{"id":"W6975684292","doi":"10.60510/awfwi02122","title":"IGSN AWFWI02122 (EN22063): Site in Boreal Forests/Taiga, Liard River, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boreal; Period (music); Precipitation; Taiga","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007809126,0.001357044,0.002215966,0.001249418,0.0001876844,0.001524091,0.001702995,0.002002624,0.00955162],"category_scores_gemma":[0.000914114,0.00230934,0.0008010514,0.001718667,0.001039739,0.000368028,0.00110129,0.002105438,0.01128712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143575,"about_ca_system_score_gemma":0.0008415463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975437,"about_ca_topic_score_gemma":0.9997749,"domain_scores_codex":[0.9912758,0.000369645,0.001459335,0.002962944,0.001491529,0.002440786],"domain_scores_gemma":[0.9953202,0.0003958287,0.0007117267,0.002546469,0.0002086536,0.0008171471],"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":[0.00003649405,0.0003450578,0.016968,0.0009166693,0.0003541244,0.002545712,0.0009332905,0.000008362863,8.506347e-7,0.00004501419,0.9742927,0.003553706],"study_design_scores_gemma":[0.001828501,0.0001518705,0.01680342,0.002623883,0.0003443451,0.0003611782,0.0001500371,0.00005764537,0.00000564769,0.002312479,0.9730316,0.002329416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003533821,0.008871942,0.00007806648,0.00006548392,0.002314185,0.002237503,0.9667694,0.002041133,0.01408849],"genre_scores_gemma":[0.01146321,0.0003950699,0.001346244,0.0002614959,0.001694824,0.0008036076,0.9058425,0.005775809,0.07241727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0609269,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336078276627106,"score_gpt":0.242581662644427,"score_spread":0.2292208798781559,"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."}}