{"id":"W6956898869","doi":"10.60510/awfwi02762","title":"IGSN AWFWI02762 (EN22058-T06): Individual Sample (Biology, plant - Picea mariana) from Yukon River Lowlands, Yukon, 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); Vegetation (pathology); Precipitation","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001113363,0.002897879,0.002988574,0.002245658,0.0003350399,0.0005931467,0.003261135,0.003412721,0.01875724],"category_scores_gemma":[0.001458237,0.002841053,0.0009886327,0.001383371,0.001464384,0.0003420598,0.002064837,0.002643151,0.01130689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008485739,"about_ca_system_score_gemma":0.0009029363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.951053,"about_ca_topic_score_gemma":0.8059646,"domain_scores_codex":[0.9889657,0.0007648888,0.001777401,0.004100284,0.001499832,0.002891838],"domain_scores_gemma":[0.9913439,0.00214712,0.001326529,0.003870322,0.0001990816,0.001113017],"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":[0.0002185008,0.0003180583,0.002530713,0.000405841,0.002839122,0.0004459442,0.001663631,0.00000849348,0.000007512305,0.001473612,0.9891658,0.000922738],"study_design_scores_gemma":[0.002434795,0.0002387082,0.001262713,0.0009638863,0.001750509,0.0001217739,0.0003109412,0.00007674172,0.00007560993,0.009709536,0.9799017,0.003153141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007362044,0.009040286,0.001587002,0.0002618017,0.004733373,0.002004829,0.9762842,0.002776021,0.002576291],"genre_scores_gemma":[0.003669481,0.0004096782,0.007455795,0.0007987727,0.004749499,0.0005179623,0.9736282,0.004870288,0.0039003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1450884,"threshold_uncertainty_score":0.9996578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317685664244963,"score_gpt":0.2619370647186916,"score_spread":0.2301684982941953,"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."}}