{"id":"W6903249447","doi":"10.7922/g2zc811p","title":"Innovative Mobility: Carsharing Outlook","year":2018,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Operator (biology); Car sharing; Technology transfer","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001038449,0.0002585411,0.0002046316,0.0002151825,0.0001220327,0.0005076445,0.0002956867,0.0001302903,0.0009463792],"category_scores_gemma":[0.00008559388,0.0002671953,0.00007495688,0.001373185,0.000168412,0.002795687,0.00004915349,0.0003758016,0.002684328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004245177,"about_ca_system_score_gemma":0.00005955968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001327516,"about_ca_topic_score_gemma":0.00000441444,"domain_scores_codex":[0.9985647,0.00001320583,0.0004999879,0.0003160143,0.0002250673,0.0003809918],"domain_scores_gemma":[0.9992076,0.00005062031,0.00004400083,0.0003964471,0.0001459436,0.0001554376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001544621,0.0006838214,0.8340355,0.0004328994,0.0005375408,0.00004930203,0.001034624,0.0004558212,0.007805456,0.06657492,0.02376945,0.06446624],"study_design_scores_gemma":[0.000964431,0.0001340481,0.1172807,0.0001152963,0.00002532698,0.0000100266,0.0002002191,0.001300581,0.0380191,0.01183138,0.8290082,0.001110665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964924,0.00004798604,0.002846553,0.0001971117,0.0003257295,0.0003208197,0.002479672,0.002045302,0.09524443],"genre_scores_gemma":[0.9968717,0.000003391243,0.0008796618,0.0004700963,0.0001971173,0.00004242404,0.0008657068,0.00008229365,0.0005876423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8052387,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460150917011194,"score_gpt":0.2161160805581033,"score_spread":0.2015145713879913,"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."}}