{"id":"W6919196316","doi":"10.60510/awfwi02903","title":"IGSN AWFWI02903 (EN22069-T17): Individual Sample (Biology, plant - Picea glauca) from Fort Nelson - T8 Area East, 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); Period (music); Hydrology (agriculture)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001001543,0.001633696,0.001544625,0.0114284,0.003546059,0.002291401,0.002831389,0.001254459,0.1576437],"category_scores_gemma":[0.003648733,0.0009147771,0.0005159525,0.02473069,0.0005713007,0.0007427864,0.001831827,0.001216606,0.1347697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004535481,"about_ca_system_score_gemma":0.01268282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7362123,"about_ca_topic_score_gemma":0.8440571,"domain_scores_codex":[0.9988508,0.0000442933,0.0000816188,0.0002894993,0.0003713184,0.0003625667],"domain_scores_gemma":[0.9964285,0.0002156516,0.0002517431,0.0006430815,0.001946172,0.0005149379],"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":[0.0001250289,0.00002099228,0.003553808,0.0004357683,0.00002783028,0.00006702229,0.0003170826,0.0001028397,0.0009636848,0.0006653729,0.9798737,0.01384678],"study_design_scores_gemma":[0.00004700647,0.00001028138,0.0419484,0.0002139072,0.00004672534,0.00007931711,0.0003034455,0.00006972606,0.0005745271,0.0004364809,0.9562418,0.00002845632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001317391,0.00008061005,0.0003232379,0.00003112463,0.00003131482,0.00004958887,0.9866046,0.0004750742,0.01108702],"genre_scores_gemma":[0.002082821,0.0001170031,0.001103141,0.00005715511,0.00001136639,0.0001746849,0.979865,0.0006490048,0.01593981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423563,"threshold_uncertainty_score":0.5306824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713197520633359,"score_gpt":0.2496984922831851,"score_spread":0.2125665170768515,"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."}}