{"id":"W6975895803","doi":"10.60510/awfwi02937","title":"IGSN AWFWI02937 (EN22071-T18): Individual Sample (Biology, plant - Picea mariana) 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); Hydrology (agriculture); Period (music); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190332,0.001826742,0.001800505,0.0127682,0.004067493,0.00275336,0.003333537,0.001615654,0.1749353],"category_scores_gemma":[0.003949021,0.001058985,0.0005904267,0.02606431,0.0006871432,0.0008712478,0.002200535,0.001433937,0.1331151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005588022,"about_ca_system_score_gemma":0.01439888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.742662,"about_ca_topic_score_gemma":0.8605433,"domain_scores_codex":[0.9987219,0.0000530149,0.00009020083,0.000335054,0.0004002819,0.0003995081],"domain_scores_gemma":[0.9968996,0.0002242711,0.0002289286,0.0005735086,0.001608218,0.0004654308],"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":[0.0001250314,0.00002025527,0.00302176,0.0005413598,0.00003200318,0.00008204416,0.000425619,0.0001144673,0.001016904,0.000812977,0.9788893,0.01491828],"study_design_scores_gemma":[0.00004168414,0.000008507566,0.02799628,0.000274406,0.00005176985,0.00008136567,0.0003070992,0.00006074203,0.0005021657,0.0004948342,0.9701508,0.00003036032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001324716,0.0001260871,0.0004633476,0.0000426717,0.00004107476,0.00005599661,0.9847922,0.0005918588,0.01256195],"genre_scores_gemma":[0.002124306,0.0001575938,0.001347616,0.00007236753,0.00001270643,0.0002101787,0.9783021,0.000891544,0.01688162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.257338,"threshold_uncertainty_score":0.5852168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353705383996779,"score_gpt":0.2419935374128135,"score_spread":0.2184564835728457,"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."}}