{"id":"W6962679587","doi":"10.17605/osf.io/hv34x","title":"ASI Sprint Report Series","year":2024,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam","keywords":"Sprint; Series (stratigraphy); Research center; Research centre; Internet research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908494,0.0001215285,0.0001623822,0.0003739307,0.0001551596,0.00006983292,0.000734258,0.0001068493,0.0001858583],"category_scores_gemma":[0.00002268997,0.0001460628,0.00009345928,0.000573553,0.0001946014,0.001432884,0.0005664138,0.0002636591,0.0002356385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124061,"about_ca_system_score_gemma":0.0001144174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008821828,"about_ca_topic_score_gemma":0.00008224841,"domain_scores_codex":[0.9990079,0.00003153281,0.0001471167,0.0004205855,0.0002082312,0.0001845848],"domain_scores_gemma":[0.9990246,0.00003027561,0.0001155419,0.0005837704,0.0002129817,0.00003280597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004674114,0.0001111356,0.001539044,0.0002277227,0.0002732662,0.007863704,0.006899246,0.00002068611,0.01556879,0.8532875,0.01850673,0.09565542],"study_design_scores_gemma":[0.0007014487,0.0007473007,0.04682555,0.0006737459,0.00007543946,0.003804665,0.006737239,0.008645815,0.02671179,0.02745307,0.8765774,0.001046472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3982116,0.0001021989,0.5357774,0.01223358,0.002320881,0.000254784,0.000011318,0.001337543,0.04975069],"genre_scores_gemma":[0.9707078,0.000008460631,0.01924106,0.00005818587,0.00003737365,3.270565e-7,0.0000071093,0.000008440839,0.009931214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8580707,"threshold_uncertainty_score":0.5956269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122348911978337,"score_gpt":0.2212278566496696,"score_spread":0.2100043675298863,"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."}}