{"id":"W4206665583","doi":"10.1080/14733285.2021.2008875","title":"Digital collaboratory","year":2022,"lang":"en","type":"article","venue":"Children s Geographies","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"TRACE (psycholinguistics); Everyday life; Sociology; Collaboratory; Visual arts; Epistemology; Aesthetics; Computer science; Art; Linguistics; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001812435,0.00008864066,0.0001066215,0.0003652376,0.001420151,0.0001646642,0.0003872853,0.00004080607,0.000474015],"category_scores_gemma":[0.00007248577,0.00009866679,0.00007035934,0.001848714,0.0005108504,0.0002646221,0.0002662657,0.0001425179,0.00004374592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003506231,"about_ca_system_score_gemma":0.000120687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000755906,"about_ca_topic_score_gemma":0.0001183422,"domain_scores_codex":[0.9989706,0.00003624012,0.0001261899,0.0002057996,0.0003715381,0.0002896519],"domain_scores_gemma":[0.9996486,0.00003706181,0.00005006229,0.0001548132,0.00004000195,0.00006944964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001010026,0.00008467991,0.8446702,6.840782e-7,0.00004116688,0.000005265857,0.001570366,0.000001858149,0.000002158869,0.08841957,0.03876663,0.02642727],"study_design_scores_gemma":[0.0002335179,0.00004125993,0.1521744,0.00000137621,0.000005194219,0.000005170028,0.004941905,1.395086e-7,0.00001237329,0.008962197,0.8333989,0.0002235633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7436802,0.0007782982,0.000003668445,0.001246586,0.0002746475,0.0002002089,0.00007901314,0.0004503409,0.253287],"genre_scores_gemma":[0.9959791,0.00009390889,0.00002976331,0.0002792496,0.00007968936,0.00003656721,0.00005899054,0.000009547702,0.003433208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7946323,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006785616080820961,"score_gpt":0.2290595768724155,"score_spread":0.2222739607915946,"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."}}