{"id":"W4413883065","doi":"10.1080/17450101.2025.2551692","title":"Putting the car in context: a call for a situated technopolitical transition in global automobilities","year":2025,"lang":"en","type":"article","venue":"Mobilities","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Kwantlen Polytechnic University","funders":"","keywords":"Situated; Context (archaeology); Transition (genetics); Sociology; Public relations; Political science; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004873503,0.0004152624,0.0003327175,0.001304005,0.0101276,0.0144866,0.001304419,0.002884457,0.004243197],"category_scores_gemma":[0.003915538,0.0003447454,0.0004486157,0.001756991,0.0656279,0.01255854,0.01190126,0.00511348,0.0004910008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008399153,"about_ca_system_score_gemma":0.007846399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008035046,"about_ca_topic_score_gemma":0.01736303,"domain_scores_codex":[0.9965814,0.002042287,0.00006912839,0.0003831107,0.0003641368,0.0005599859],"domain_scores_gemma":[0.9971408,0.001379641,0.0002531293,0.0005558088,0.0002406926,0.0004300642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002023153,0.00002888439,0.002091595,0.0001225781,0.000008075624,0.0005164305,0.1894331,0.0006254407,0.0006716534,0.7879866,0.001497219,0.01699822],"study_design_scores_gemma":[0.000009886056,0.00008638686,0.003595419,0.0004774477,0.00001987265,0.0005691787,0.4573596,0.001045196,0.001164929,0.3228427,0.2127723,0.00005711354],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4376817,0.004938066,0.06870644,0.1030632,0.0006728633,0.0001463867,0.00005024049,0.0003406465,0.3844004],"genre_scores_gemma":[0.9926779,0.000592469,0.002964477,0.00082462,0.00003564943,0.00002650868,0.000006459388,0.00003179331,0.002840066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144866,"threshold_uncertainty_score":0.06094044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007026069600631776,"score_gpt":0.2469653231728883,"score_spread":0.2399392535722565,"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."}}