{"id":"W6964706365","doi":"10.25916/sut.26280811","title":"Talking 'costs': Seniors, cell phones and the personal and political economy of telecommunications in Canada","year":2010,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Context (archaeology); Negotiation; Government (linguistics); Digital economy; Politics; Perspective (graphical)","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":[0.001563311,0.0003107619,0.0004046278,0.001314958,0.0225477,0.005673463,0.001030664,0.001075937,0.004078159],"category_scores_gemma":[0.004236907,0.0002868631,0.0002069873,0.002473892,0.006412234,0.001574515,0.00386127,0.001985456,0.0002028064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05820114,"about_ca_system_score_gemma":0.05357634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929992,"about_ca_topic_score_gemma":0.9963608,"domain_scores_codex":[0.997826,0.0002627828,0.00004769619,0.0001356784,0.0006062723,0.001121442],"domain_scores_gemma":[0.9963522,0.000449785,0.0003729309,0.00005067646,0.001113602,0.001660717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001211578,0.00007144033,0.07383385,0.00008890468,0.00001488736,0.0006637651,0.8869282,0.0001068818,0.0007634442,0.006973912,0.009759597,0.02067396],"study_design_scores_gemma":[0.000006736736,0.00003079942,0.06767809,0.00007564892,0.00001263544,0.0001152897,0.9009513,0.0001333024,0.0001367736,0.0004712507,0.03033978,0.00004837391],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785542,0.0005546847,0.00006614007,0.00440818,0.00005047007,0.00001590459,0.0001200309,0.000006482306,0.01622381],"genre_scores_gemma":[0.9931453,0.0004596886,0.00004718373,0.0007117091,0.00001175356,0.000004952214,0.00003760505,0.000006975454,0.005574832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05820114,"threshold_uncertainty_score":0.4222808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108067308004747,"score_gpt":0.2249680806601217,"score_spread":0.214161349859647,"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."}}