{"id":"W4385506909","doi":"10.59350/f9ap9-7x978","title":"Three questions with…. Sanam!","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Work (physics); Library science; Computer science; Engineering; Mechanical engineering","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":[0.006029126,0.0007779051,0.0006456164,0.0009275087,0.009005492,0.009407504,0.001050118,0.008027664,0.1655559],"category_scores_gemma":[0.04014852,0.0005051247,0.0006762749,0.001028975,0.003797173,0.01129956,0.005169798,0.0121031,0.1059308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002196565,"about_ca_system_score_gemma":0.003294952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003669654,"about_ca_topic_score_gemma":0.006751551,"domain_scores_codex":[0.9956843,0.001294131,0.0002019232,0.0006628117,0.001726878,0.0004300607],"domain_scores_gemma":[0.9837172,0.002979228,0.0008115051,0.00105504,0.006014956,0.005422094],"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":[0.00001199355,0.00001110188,0.0002382841,0.00001430142,0.000002058834,0.00003861311,0.0005050268,0.000004172372,0.00005682161,0.001638935,0.9917771,0.005701719],"study_design_scores_gemma":[0.000007255799,0.00001548655,0.0003983513,0.00007867099,0.000003264527,0.0001520634,0.002581886,0.00003007313,0.0001242366,0.002321789,0.9942585,0.00002825627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001117925,0.00172864,0.0009924269,0.9211689,0.02695989,0.00004577567,0.0003802303,0.0007001927,0.04690601],"genre_scores_gemma":[0.01913441,0.002609688,0.002639877,0.5868714,0.01436962,0.0002689691,0.0005553028,0.001499217,0.3720516],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1655559,"threshold_uncertainty_score":0.5538397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246214679993746,"score_gpt":0.3300870049616334,"score_spread":0.2976248581616959,"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."}}