{"id":"W6930065820","doi":"10.48660/25060087","title":"Q&A","year":2025,"lang":"uk","type":"other","venue":"PIRSA","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009377032,0.0009489033,0.0007448139,0.001649627,0.00248502,0.006366327,0.001123834,0.004013454,0.9315076],"category_scores_gemma":[0.005461261,0.0006184304,0.0009222202,0.001133514,0.00116518,0.002047871,0.003067138,0.002488251,0.8828626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643483,"about_ca_system_score_gemma":0.003869102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009655336,"about_ca_topic_score_gemma":0.01792039,"domain_scores_codex":[0.9991721,0.00008974919,0.00003342749,0.000177883,0.0003701376,0.0001566027],"domain_scores_gemma":[0.9966607,0.0004009225,0.0001329169,0.0003715286,0.00128074,0.0011531],"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":[0.00003168379,0.00002619271,0.00009468046,0.00007523431,0.000002643438,0.00003368321,0.00002225193,0.00004174912,0.0001779514,0.004414226,0.9346425,0.0604372],"study_design_scores_gemma":[0.00001241837,0.00001508173,0.0002496245,0.00004143192,0.00000133007,0.00002152697,0.0000203767,0.00005757165,0.00004424492,0.0008589091,0.9986738,0.000003753122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001685073,0.000230082,0.0003464477,0.002170794,0.001404335,0.00008877688,0.001667299,0.0006221926,0.9933016],"genre_scores_gemma":[0.0004406099,0.00006109864,0.00009209981,0.0005617875,0.0001161986,0.00002737863,0.0003217556,0.0001082646,0.9982708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06849241,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570199838590488,"score_gpt":0.199924253565649,"score_spread":0.1903540537270585,"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."}}