{"id":"W4309142726","doi":"10.1201/9781003264903","title":"Making with Data","year":2022,"lang":"en","type":"book","venue":"","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Agence Nationale de la Recherche","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007437072,0.001515057,0.001055589,0.003400332,0.003252909,0.01672103,0.001836043,0.0030617,0.08324232],"category_scores_gemma":[0.0217691,0.0008881023,0.001196503,0.003668739,0.006847993,0.02482095,0.006914701,0.006022045,0.0527006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305111,"about_ca_system_score_gemma":0.002932348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739545,"about_ca_topic_score_gemma":0.003819318,"domain_scores_codex":[0.9957772,0.00154383,0.0001916137,0.0006205619,0.001733568,0.0001331529],"domain_scores_gemma":[0.9916024,0.005117879,0.0001510522,0.00185483,0.0009939193,0.0002799447],"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":[0.000008966524,0.0000132665,0.0000934704,0.0001489126,0.00001120175,0.00006470919,0.001369764,0.0002159251,0.0002644627,0.4318647,0.446163,0.1197816],"study_design_scores_gemma":[0.00000169452,0.000002726624,0.00003905209,0.0001221357,0.000004620503,0.00005658818,0.0003788031,0.0002382022,0.0001010648,0.1353594,0.8636886,0.000007182616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005106365,0.006311524,0.1278662,0.03821519,0.007929064,0.0002117808,0.001111121,0.001628186,0.8162163],"genre_scores_gemma":[0.009862382,0.00832734,0.06338186,0.01332571,0.003792741,0.000359792,0.001536874,0.002364454,0.897049],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08324232,"threshold_uncertainty_score":0.2784733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534925270259444,"score_gpt":0.3855333711287159,"score_spread":0.2320408441027715,"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."}}