{"id":"W2314701855","doi":"10.3167/trans.2012.020103","title":"Off-grid Mobilities","year":2012,"lang":"en","type":"article","venue":"Transfers","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobilities; Everyday life; Ethnography; Sociology; Grid; Frame (networking); Aesthetics; Presentation (obstetrics); Visual arts; Embodied cognition; Media studies; Computer science; Geography; Epistemology; Art; Anthropology; Telecommunications; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002729138,0.00006735059,0.00007757929,0.00007923839,0.0003906747,0.00003758296,0.0001506602,0.0000479226,0.002815253],"category_scores_gemma":[0.00003374361,0.00006819698,0.0001043179,0.0001486243,0.000364467,0.0004702976,0.000004827575,0.0001038321,0.0003054341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003347488,"about_ca_system_score_gemma":0.00002392403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399068,"about_ca_topic_score_gemma":0.01078942,"domain_scores_codex":[0.9991609,0.00006725287,0.0001018853,0.000086573,0.0001978218,0.0003855588],"domain_scores_gemma":[0.9996186,0.00009156334,0.000009181434,0.0001000082,0.00003674526,0.0001438807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008649599,0.0006291656,0.07317442,0.0000402868,0.0001882441,0.000003112242,0.3945209,0.00002212544,0.001729878,0.4690469,0.05194235,0.008616146],"study_design_scores_gemma":[0.0002176551,0.0001094223,0.04352323,0.00001359998,0.00004962419,0.000001469299,0.1718975,0.000001764227,0.0005113855,0.001020515,0.7823632,0.0002905769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7820997,0.0003342783,0.000006804303,0.001572376,0.0009456988,0.0001317682,0.00001167986,0.000137767,0.2147599],"genre_scores_gemma":[0.9967715,0.0001785401,0.00007237936,0.0001497707,0.0004116292,0.00001940939,0.000002389908,0.000007682203,0.002386739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7304209,"threshold_uncertainty_score":0.9980963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636186596082969,"score_gpt":0.3263687560795783,"score_spread":0.2900068901187486,"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."}}