{"id":"W4392406514","doi":"10.5210/spir.v2023i0.13525","title":"IF NOT, ELSE: STANDARDS, PROTOCOLS, NETWORKS AND HOW THEY MAKE A DIFFERENCE","year":2023,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006559164,0.0001817051,0.0002500941,0.0002989105,0.0000634076,0.0001437485,0.0003468911,0.0001469469,0.00005908337],"category_scores_gemma":[0.0003403479,0.0001521075,0.000040725,0.0008580976,0.0001481368,0.00005551473,0.0001431911,0.0006082935,0.00001043662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008191268,"about_ca_system_score_gemma":0.00008403466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342802,"about_ca_topic_score_gemma":0.0003785725,"domain_scores_codex":[0.9981846,0.0001342826,0.0001602759,0.0001328017,0.000638757,0.0007493274],"domain_scores_gemma":[0.9988844,0.0003421368,0.00002374247,0.000259035,0.0003464595,0.000144193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001464449,0.0001720815,0.03565851,0.002801874,0.001235738,0.00009363136,0.04277487,0.006621334,0.4019309,0.003532172,0.317596,0.1861185],"study_design_scores_gemma":[0.004246404,0.003761351,0.3527047,0.002625344,0.0000497118,0.00008363141,0.005790248,0.2070843,0.1676008,0.0004350866,0.2535483,0.002070083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862876,0.0002223975,0.00007144221,0.0004925826,0.00007378047,0.003460713,0.00007175812,0.0004765032,0.008843214],"genre_scores_gemma":[0.9928154,0.0003942106,0.00001389512,0.00001637345,0.0001020724,0.0009311005,0.00002123128,0.00004733275,0.005658337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170462,"threshold_uncertainty_score":0.6202764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161734256219373,"score_gpt":0.3347377078246199,"score_spread":0.3031203652624261,"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."}}