{"id":"W6900569035","doi":"10.60510/awfwi02380","title":"IGSN AWFWI02380 (EN22019-T02): Individual Sample (Biology, plant - Picea mariana) from Richardson Mountains, Northwest Territories, 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); Precipitation; Quality (philosophy); Period (music)","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":[0.001199176,0.001644392,0.001615049,0.009676689,0.002119778,0.001969159,0.002923247,0.001388801,0.1760343],"category_scores_gemma":[0.003431723,0.001010829,0.000666198,0.02039352,0.0005079943,0.0009371646,0.002043768,0.001174603,0.1564263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707143,"about_ca_system_score_gemma":0.005077678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1822121,"about_ca_topic_score_gemma":0.2660595,"domain_scores_codex":[0.9989148,0.00007000186,0.0001035413,0.0003483607,0.000301104,0.0002620732],"domain_scores_gemma":[0.9979591,0.0002376371,0.0002338326,0.0005273793,0.0007316024,0.0003103096],"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":[0.0001252887,0.00002723719,0.003108143,0.0005893794,0.00004142239,0.00006535564,0.0003787583,0.0001225603,0.001049823,0.001030672,0.9813339,0.01212745],"study_design_scores_gemma":[0.00005671644,0.00001048139,0.02250556,0.0002017314,0.00004750537,0.00008035395,0.000212239,0.00005478499,0.0004228801,0.0005602449,0.9758279,0.00001959673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009078794,0.00006116488,0.0004132685,0.00002433525,0.0000314948,0.0000322609,0.9904882,0.0004547625,0.007586655],"genre_scores_gemma":[0.001073121,0.00008042114,0.001136583,0.00004163044,0.0000121259,0.000179211,0.9904545,0.0006301225,0.006392317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8239657,"threshold_uncertainty_score":0.5888934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522288889252885,"score_gpt":0.2613978578241246,"score_spread":0.2361749689315957,"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."}}