{"id":"W6948820187","doi":"10.48660/25040078","title":"Panel Discussion: Harnessing Breakthroughs in Big Tech (AI Researchers)","year":2025,"lang":"en","type":"other","venue":"PIRSA","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Big data; High tech; Context (archaeology); Work (physics); Key (lock)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001719297,0.0002907345,0.0003514476,0.001354712,0.0001025048,0.00289523,0.004898519,0.0002395745,0.0003888551],"category_scores_gemma":[0.0008713803,0.00020441,0.00006824942,0.001792238,0.0001295959,0.005249665,0.004113383,0.0009949835,0.0003799731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685053,"about_ca_system_score_gemma":0.0005072409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744836,"about_ca_topic_score_gemma":0.001081552,"domain_scores_codex":[0.996273,0.0004984667,0.000300058,0.001113889,0.001094629,0.0007199615],"domain_scores_gemma":[0.9970394,0.0002280311,0.0001767123,0.002372477,0.00005271051,0.0001306507],"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":[0.00001060815,0.0001640776,0.0003251622,0.0004192063,0.00006455617,0.0003881413,0.0001306366,0.000002592831,0.00002500962,0.04025371,0.5887684,0.3694479],"study_design_scores_gemma":[0.0002980885,0.0000212613,0.000411716,0.0008020306,0.000006531835,0.000002009764,0.00006330311,0.0005768209,0.00002045725,0.001277823,0.9962515,0.0002685055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.561548e-7,0.0009042863,0.1614513,0.02559457,0.0005014882,0.0005362941,0.00002373422,0.0003374482,0.8106502],"genre_scores_gemma":[0.000325042,0.0017787,0.009536585,0.0004480979,0.0002678102,0.00008467329,0.00003681103,0.0001190306,0.9874033],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4074831,"threshold_uncertainty_score":0.9981399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1673221471168061,"score_gpt":0.3998791376613297,"score_spread":0.2325569905445236,"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."}}