{"id":"W6892011803","doi":"10.48660/22100001","title":"Welcome & Opening Remarks","year":2022,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Work (physics); Government (linguistics); Context (archaeology); Natural (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003006634,0.0002744914,0.00036684,0.0003775755,0.00006991447,0.00004481646,0.0006043398,0.0001551836,0.4761642],"category_scores_gemma":[0.00005643195,0.0002930623,0.0001063317,0.0002943961,0.00003830448,0.00002849103,0.0004813847,0.0005020554,0.05595529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402333,"about_ca_system_score_gemma":0.00006184155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000536117,"about_ca_topic_score_gemma":0.0003165454,"domain_scores_codex":[0.998495,0.0001221409,0.0001620457,0.0004435698,0.00044544,0.0003318019],"domain_scores_gemma":[0.9988989,0.00002971106,0.000226317,0.0007572574,0.000008294491,0.00007952905],"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":[0.000007501593,0.00001983775,0.0002119843,0.00003095109,0.00007489854,0.00007841198,0.00005714384,0.000002036141,0.00008062437,0.0004281059,0.9982223,0.0007862079],"study_design_scores_gemma":[0.0002506309,0.00001556057,0.0001089629,0.00007133918,0.00004114318,0.00001288029,0.00003268731,0.0000110628,0.000003521199,0.00003965848,0.9990657,0.0003468685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000484172,0.001578758,0.000009417785,0.00006885895,0.0008881935,0.0003217522,0.0002928692,0.0008649596,0.9959704],"genre_scores_gemma":[0.0001463041,0.00002098488,0.001099562,0.0001413328,0.000890202,0.00008030434,0.0003348948,0.003330366,0.993956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4202089,"threshold_uncertainty_score":0.9999521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878195106085312,"score_gpt":0.2695087891902813,"score_spread":0.2507268381294281,"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."}}