{"id":"W1560947182","doi":"","title":"Traversing Sonic and Cyber Scapes: On Becoming a Tech Geek Girl","year":2007,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geek; Girl; Traverse; Computer science; Geography; Artificial intelligence; Biology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004026077,0.0001133075,0.0001732652,0.0003324092,0.0009109408,0.00005756053,0.0001158487,0.000087441,0.00003747358],"category_scores_gemma":[0.0002782632,0.0001153756,0.00002236604,0.0003101657,0.000514397,0.0001069872,0.00003526154,0.0001102821,0.00003323323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035584,"about_ca_system_score_gemma":0.000283477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728418,"about_ca_topic_score_gemma":0.2786353,"domain_scores_codex":[0.9987771,0.00001341791,0.0001313027,0.0002187628,0.0001413183,0.0007181192],"domain_scores_gemma":[0.9994073,0.0001477074,0.00003268096,0.00008292736,0.00004479699,0.0002846076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004199822,0.00005520415,0.02227918,0.00004826469,0.0003897124,0.0004907873,0.389535,7.372523e-7,0.00004253397,0.3642027,0.003882385,0.2190315],"study_design_scores_gemma":[0.0006048697,0.0001133335,0.00533518,0.00008966438,0.00001349729,0.000007545433,0.7393859,9.701412e-7,0.0001029768,0.04275575,0.211077,0.0005133172],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832078,0.0003423919,0.000003732135,0.001933459,0.0001937154,0.0001333815,0.000003325771,0.00007114195,0.1141111],"genre_scores_gemma":[0.9961298,0.0001091651,0.0000960059,0.0009398906,0.00007662461,0.000007672039,6.435495e-7,0.000008390418,0.002631771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3498509,"threshold_uncertainty_score":0.7345278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763371218080688,"score_gpt":0.2857848380631512,"score_spread":0.2581511258823443,"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."}}