{"id":"W6957094404","doi":"10.60510/awfwi02724","title":"IGSN AWFWI02724 (EN22053-T01): Individual Sample (Biology, plant - Picea mariana) from Tintina Trench, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Quality (philosophy); Component (thermodynamics); Chemical composition","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004303995,0.0008418509,0.000879832,0.0007696115,0.0002268814,0.0007893792,0.002068592,0.0009352318,0.001023902],"category_scores_gemma":[0.0003453991,0.0007805687,0.000295065,0.0006677402,0.0003971249,0.0003237574,0.000920377,0.0009444946,0.0002863824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207099,"about_ca_system_score_gemma":0.000538545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5421167,"about_ca_topic_score_gemma":0.1683477,"domain_scores_codex":[0.9958767,0.0002023152,0.0006964446,0.001831447,0.0004563491,0.0009366961],"domain_scores_gemma":[0.9970978,0.0005509513,0.0005225237,0.001457796,0.00008761477,0.0002832956],"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":[0.000009278712,0.00006164485,0.000142911,0.0002040601,0.0002900194,0.00006259599,0.0007876027,0.000001554555,0.000002358365,0.00243548,0.9251426,0.07085983],"study_design_scores_gemma":[0.0004917476,0.00009857869,0.00009678608,0.0005112727,0.0001820789,0.0001923017,0.00009795021,0.0005759657,0.0001227605,0.02125107,0.9753479,0.001031541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006371666,0.004473937,0.186227,0.0005641531,0.005985054,0.0003605712,0.798026,0.001318758,0.002980787],"genre_scores_gemma":[0.001151573,0.0001758536,0.1097678,0.000458407,0.002168777,0.0001120923,0.8819953,0.0003928081,0.003777385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.373769,"threshold_uncertainty_score":0.9998893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032247227672778,"score_gpt":0.2429168731435005,"score_spread":0.2225944008667727,"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."}}