{"id":"W6919478804","doi":"10.60510/awfwi02387","title":"IGSN AWFWI02387 (EN22019-T09): 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":[0.001208403,0.001631547,0.001663235,0.009540145,0.00217262,0.002035708,0.002975091,0.00148496,0.1898059],"category_scores_gemma":[0.003610793,0.001031197,0.0006751794,0.02027771,0.0005344587,0.0009603533,0.00212929,0.001192104,0.1688119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694365,"about_ca_system_score_gemma":0.005153671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1823038,"about_ca_topic_score_gemma":0.273571,"domain_scores_codex":[0.9988833,0.00007187978,0.0001069573,0.0003563726,0.0003098401,0.0002716569],"domain_scores_gemma":[0.9978861,0.0002592358,0.000241256,0.0005360118,0.0007584644,0.0003188524],"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":[0.0001132871,0.00002531654,0.002912037,0.0005802797,0.00004042155,0.00006247026,0.0003650453,0.0001143952,0.000910413,0.0009633841,0.9828215,0.01109126],"study_design_scores_gemma":[0.00005782165,0.00001014835,0.02177311,0.0002249088,0.00004858935,0.00008009724,0.0002286908,0.00005230964,0.0003887553,0.0005735207,0.9765416,0.00002034409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008326992,0.00006249898,0.0003980056,0.00002541046,0.00003313704,0.00003121641,0.9904863,0.0004491835,0.007681532],"genre_scores_gemma":[0.001042795,0.00008405376,0.001078792,0.00004478871,0.0000123812,0.0001764764,0.9905958,0.0006375095,0.006327454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8176962,"threshold_uncertainty_score":0.6349639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523761073031052,"score_gpt":0.2614063567225912,"score_spread":0.2361687459922806,"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."}}