{"id":"W7027281106","doi":"","title":"Cobalt Company with Canadian Assets Positioned for Growth","year":2020,"lang":"en","type":"other","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cobalt; Productivity; Government (linguistics); Work (physics)","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":[],"category_scores_codex":[0.001064303,0.001577121,0.0005960245,0.0027408,0.00458616,0.008304944,0.001379568,0.002925869,0.5547373],"category_scores_gemma":[0.003766594,0.00060958,0.0007452044,0.002489392,0.001281793,0.00298054,0.002861788,0.002754812,0.3712496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01408379,"about_ca_system_score_gemma":0.05841766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6957944,"about_ca_topic_score_gemma":0.8414428,"domain_scores_codex":[0.9979424,0.00005150323,0.00003062743,0.0001718235,0.00128372,0.0005199242],"domain_scores_gemma":[0.9929422,0.0001468877,0.0001060729,0.0002531471,0.003653361,0.002898392],"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":[0.00002218888,0.00001934197,0.0001693372,0.00003371232,0.00000200921,0.00002882957,0.00002258861,0.0001004933,0.0001505366,0.009062734,0.9628875,0.02750069],"study_design_scores_gemma":[0.000006008734,0.000006026121,0.0002390365,0.00002501496,0.000001954381,0.0000156766,0.00005338627,0.0001671544,0.0001068684,0.0009455815,0.9984281,0.000005190127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006142762,0.0004742904,0.0007965915,0.004259058,0.001278615,0.00006723437,0.005614019,0.001376858,0.9855191],"genre_scores_gemma":[0.002182627,0.0002913229,0.0005524615,0.0005496297,0.00006068539,0.00001511052,0.002237544,0.0004601034,0.9936506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5547373,"threshold_uncertainty_score":0.6351131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060927608006672,"score_gpt":0.2070307052328169,"score_spread":0.1864214291527502,"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."}}