{"id":"W6938271553","doi":"10.60510/awfwi02930","title":"IGSN AWFWI02930 (EN22071-T11): Individual Sample (Biology, plant - Picea glauca) 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0009085712,0.001874677,0.002873241,0.0008872459,0.0004326065,0.001893766,0.002829334,0.003080537,0.02438994],"category_scores_gemma":[0.001151327,0.002775068,0.0009945845,0.001143655,0.00144981,0.0003817441,0.001715881,0.002307561,0.003999561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008553471,"about_ca_system_score_gemma":0.0009840843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980376,"about_ca_topic_score_gemma":0.996365,"domain_scores_codex":[0.9895412,0.000520727,0.001732759,0.003938758,0.001427711,0.002838792],"domain_scores_gemma":[0.9931753,0.001502805,0.001155029,0.002883434,0.0002084256,0.001074993],"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":[0.00007222391,0.0003384768,0.0212575,0.000395192,0.002151564,0.0007011422,0.0008639553,0.00000217002,0.000003076094,0.00007209888,0.9720001,0.002142512],"study_design_scores_gemma":[0.002530466,0.0002679663,0.006992491,0.001553069,0.001447637,0.0003581666,0.0002709567,0.00004319882,0.00001208929,0.006475336,0.9770202,0.003028447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008523161,0.0092878,0.0007931517,0.00006325074,0.004292311,0.002304572,0.9709793,0.002622746,0.00113376],"genre_scores_gemma":[0.006579422,0.0004882639,0.005366414,0.0006254486,0.003938214,0.0007232892,0.9693699,0.004564076,0.008344941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02039038,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433653573875377,"score_gpt":0.2476761511492694,"score_spread":0.2233396154105156,"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."}}