{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00116295,0.0008970466,0.0004024618,0.00135834,0.008794583,0.009072391,0.0009080003,0.002354266,0.3385681],"category_scores_gemma":[0.001898219,0.0004996932,0.0003194879,0.001362843,0.00169073,0.002122948,0.0038559,0.003481508,0.1392124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00833514,"about_ca_system_score_gemma":0.01246081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2920997,"about_ca_topic_score_gemma":0.6941677,"domain_scores_codex":[0.9979983,0.00005782926,0.00002364786,0.0001867946,0.001143184,0.0005901628],"domain_scores_gemma":[0.9980812,0.00008310682,0.00004259628,0.0001057765,0.0006770823,0.001010148],"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":[0.00002830081,0.0000320164,0.000363503,0.00005708204,0.000001810764,0.00006769061,0.0002496301,0.00003073129,0.0004175927,0.006794842,0.9588298,0.03312701],"study_design_scores_gemma":[0.000002165732,0.000004637505,0.0005555681,0.00001998827,8.161457e-7,0.00001950414,0.0001861656,0.00001375668,0.0002961582,0.0002093198,0.9986886,0.000003140761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00300181,0.001504962,0.0006344562,0.009273837,0.00186621,0.00005535538,0.001598229,0.0009746213,0.9810906],"genre_scores_gemma":[0.00426203,0.0002512322,0.0001250111,0.0002766705,0.00005868009,0.000006387337,0.0003368339,0.0003944621,0.9942887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7079003,"threshold_uncertainty_score":0.9434524,"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."}}