{"id":"W6957198965","doi":"10.60510/awfwi02596","title":"IGSN AWFWI02596 (EN22038-T03): Individual Sample (Biology, plant - Larix laricina) from Eagle Plains, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Crown (dentistry); Productivity; Charcoal","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":[0.0009346353,0.001444638,0.001203908,0.007809372,0.001349895,0.001797539,0.002066206,0.001130399,0.2712458],"category_scores_gemma":[0.004167071,0.0006200224,0.0005028865,0.01313803,0.0003979417,0.0008934639,0.001938518,0.0006700324,0.2746594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660148,"about_ca_system_score_gemma":0.0074185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2854895,"about_ca_topic_score_gemma":0.3198504,"domain_scores_codex":[0.9990553,0.00004924972,0.00008607352,0.0002028304,0.0003090833,0.0002974629],"domain_scores_gemma":[0.9957028,0.0002874064,0.0002693638,0.0006108569,0.002555345,0.0005742447],"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":[0.0001101505,0.0000264741,0.002804649,0.0003122154,0.00001153741,0.00003009046,0.0001221096,0.00005300401,0.0004192916,0.0007074376,0.9827746,0.0126285],"study_design_scores_gemma":[0.00004582998,0.00001749562,0.03282888,0.0001264304,0.00002175352,0.00007323993,0.0002456196,0.00007880454,0.0004807271,0.0004283818,0.9656367,0.00001601381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001325246,0.00007143095,0.0002731335,0.00006200604,0.00003960556,0.00005787226,0.9734504,0.0006147802,0.02410565],"genre_scores_gemma":[0.001876933,0.00009739679,0.000643342,0.00006625916,0.00001289339,0.0001430018,0.9653487,0.0006724742,0.03113911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7145104,"threshold_uncertainty_score":0.9074075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05441466548876677,"score_gpt":0.3297332103735392,"score_spread":0.2753185448847724,"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."}}