{"id":"W6990003833","doi":"","title":"Cobalt: From Drama To Calmer, &amp;amp; Car2Go Success In Vancouver (#CleantechTalk 47) | CleanTechnica","year":2018,"lang":"en","type":"other","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drama; Exposition (narrative)","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":[0.00008866622,0.0004365761,0.0004936787,0.0004779571,0.00003497156,0.00008390526,0.0004156473,0.000589804,0.04380741],"category_scores_gemma":[0.00005278124,0.0004343298,0.00008394635,0.0004967544,0.00005465858,0.0001286781,0.00006403371,0.0003495544,0.00909286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279214,"about_ca_system_score_gemma":0.00004989241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468723,"about_ca_topic_score_gemma":0.2376463,"domain_scores_codex":[0.9983528,0.00002247859,0.0004551617,0.0004849808,0.0003128878,0.000371739],"domain_scores_gemma":[0.9990198,0.00005524101,0.00008353037,0.0006019036,0.00006295436,0.0001765913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001108676,0.00003454612,0.00008909718,0.00007182542,0.00004436386,0.000005280305,0.00006578543,0.0001511495,0.0004658548,0.00007965078,0.9976823,0.001299002],"study_design_scores_gemma":[0.0002565605,0.00001018079,0.00004565244,0.0002065346,0.0000166007,0.000002320794,0.00004415782,0.0001399918,0.0005892756,0.0000871993,0.9980561,0.0005454125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003381323,0.000439493,0.03063963,0.00004781346,0.001993406,0.0003892792,0.0001222462,0.001903679,0.9641263],"genre_scores_gemma":[0.009540866,0.0004308513,0.005888122,0.0004354019,0.0005411598,0.00006900062,0.0001407087,0.0005855747,0.9823683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2351776,"threshold_uncertainty_score":0.9998109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505932386918171,"score_gpt":0.2729979042314249,"score_spread":0.2579385803622433,"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."}}