{"id":"W6911984104","doi":"10.5281/zenodo.14710230","title":"INSTAR Rollup #1 - AIOTI Days 2024","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Historical Astronomy and Related Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Key (lock); Instar; Emerging technologies; Information technology","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":[],"consensus_categories":[],"category_scores_codex":[0.002773806,0.001259063,0.0006017851,0.001589158,0.00231982,0.006047573,0.001362895,0.003403884,0.1612045],"category_scores_gemma":[0.003785762,0.0004621469,0.0008085688,0.0008388446,0.0005375622,0.00258044,0.003586447,0.003490473,0.1238318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654366,"about_ca_system_score_gemma":0.004168136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005987242,"about_ca_topic_score_gemma":0.01162648,"domain_scores_codex":[0.9980637,0.0001660869,0.00004460935,0.0002050518,0.00109099,0.0004294954],"domain_scores_gemma":[0.9973103,0.0002447896,0.0001546946,0.0003875553,0.001005013,0.0008977598],"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":[0.000653905,0.0001586162,0.0006153784,0.0001756888,0.00002078412,0.0002635456,0.00007895253,0.000251441,0.002854888,0.01759936,0.9414842,0.03584334],"study_design_scores_gemma":[0.0000340126,0.00009569932,0.0009366579,0.00002729291,0.000004589735,0.00004442027,0.00004263748,0.0001845909,0.001236628,0.001266106,0.9961164,0.00001100576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01403808,0.003727557,0.009988263,0.01893403,0.02879903,0.001048698,0.04323914,0.01222189,0.8680033],"genre_scores_gemma":[0.03896572,0.0007274115,0.006085944,0.006641443,0.001800483,0.0008118663,0.03222613,0.002786369,0.9099547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1612045,"threshold_uncertainty_score":0.5392827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312880741033023,"score_gpt":0.2248249793634261,"score_spread":0.2116961719530958,"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."}}