{"id":"W6956786876","doi":"10.60510/awfwi02949","title":"IGSN AWFWI02949 (EN22072-T04): Individual Sample (Biology, plant - Pinus contorta) from Fort Nelson River lowlands, 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":"Sample (material); Pinus <genus>; Hydrology (agriculture); Dendrochronology; Vegetation (pathology)","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":[0.0008770881,0.0018651,0.003096036,0.0007909179,0.000396092,0.001780807,0.002618153,0.003069249,0.02388102],"category_scores_gemma":[0.001274775,0.002761377,0.001004522,0.0009396832,0.001544664,0.0003525351,0.00137458,0.002126092,0.002981656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000846716,"about_ca_system_score_gemma":0.0009484591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986944,"about_ca_topic_score_gemma":0.9976225,"domain_scores_codex":[0.9896929,0.0004976674,0.001809818,0.003825376,0.001399005,0.002775203],"domain_scores_gemma":[0.9932131,0.001454674,0.001244889,0.002753524,0.0002291868,0.001104675],"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":[0.00007734721,0.0003198474,0.01595723,0.0003457488,0.002457075,0.0009595386,0.0009254434,0.000001875744,0.000002049142,0.00006979051,0.9771183,0.001765725],"study_design_scores_gemma":[0.002942719,0.0002912429,0.006989091,0.001609288,0.001447886,0.0003578666,0.0003094898,0.00003337315,0.00001185322,0.003930836,0.9790256,0.003050723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004762064,0.01186184,0.0005449945,0.00004830187,0.004652963,0.002520651,0.9714125,0.002537736,0.001658953],"genre_scores_gemma":[0.011252,0.0004931691,0.003227321,0.0006042541,0.003906247,0.0008190327,0.9678419,0.004343718,0.00751235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02089936,"threshold_uncertainty_score":0.9994093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253559438309306,"score_gpt":0.2487837272901555,"score_spread":0.2234277834592249,"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."}}