{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002936374,0.0006692045,0.0003730932,0.002919273,0.01325275,0.01179279,0.002700754,0.002592495,0.1322078],"category_scores_gemma":[0.00778033,0.0004064766,0.0005641206,0.003631239,0.004760917,0.005417737,0.008884139,0.00234379,0.01795416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01691272,"about_ca_system_score_gemma":0.0239964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3783081,"about_ca_topic_score_gemma":0.6156434,"domain_scores_codex":[0.9957132,0.0008850622,0.0001749567,0.0007357604,0.001575118,0.000915921],"domain_scores_gemma":[0.9942957,0.000889079,0.000240165,0.0008766655,0.001355046,0.002343439],"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":[0.0001010031,0.0001138064,0.006409146,0.0004043347,0.00002111096,0.001984658,0.09210113,0.0002366802,0.001617442,0.2572463,0.3446662,0.2950982],"study_design_scores_gemma":[0.000003089064,0.000007109478,0.0005710906,0.00004368924,0.000003225911,0.0001570502,0.006126998,0.0000286421,0.0001213211,0.00090312,0.9920254,0.000009269183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01743548,0.002724646,0.006786914,0.01436496,0.002451282,0.0001913153,0.001078305,0.0007992098,0.9541679],"genre_scores_gemma":[0.1782224,0.00241353,0.008512077,0.003128204,0.0002530775,0.0001527569,0.000662902,0.0004428824,0.8062122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3783081,"threshold_uncertainty_score":0.7522123,"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."}}