{"id":"W7005627879","doi":"","title":"Reducing Diesel Dependency in Isolated Labrador Communities","year":2021,"lang":"en","type":"other","venue":"","topic":"Diverse Interdisciplinary Research Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dependency (UML); Diesel fuel; Pollution; Identification (biology); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002153593,0.000264379,0.0004177896,0.0006026877,0.0001031328,0.0002299632,0.001832504,0.0001518066,0.003399898],"category_scores_gemma":[0.00003293485,0.0002343009,0.00008291146,0.0005599167,0.0001147543,0.0001688214,0.004603567,0.0005013939,0.0001696539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007464617,"about_ca_system_score_gemma":0.0001124939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006219628,"about_ca_topic_score_gemma":0.02014282,"domain_scores_codex":[0.9983592,0.000190655,0.0002274813,0.0003781744,0.0004070252,0.0004374827],"domain_scores_gemma":[0.9986926,0.0001011241,0.00007887465,0.001012067,0.00005025319,0.00006505517],"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":[0.000006835281,0.0002757867,0.001314222,0.0003368839,0.000325049,0.001440933,0.00826556,0.00001064114,0.00002375725,0.006459443,0.9703314,0.01120945],"study_design_scores_gemma":[0.003936751,0.001142008,0.007387515,0.02490796,0.00005856152,0.0003386241,0.03685682,0.07904027,0.0001712077,0.005572138,0.8347036,0.005884552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006521724,0.003062537,0.005857006,0.0006857581,0.0005004689,0.0002125233,0.000009482007,0.000351324,0.9892557],"genre_scores_gemma":[0.006379332,0.001834915,0.005406195,0.00007420957,0.00007236789,0.00003765301,0.00001916985,0.0001087274,0.9860674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1356279,"threshold_uncertainty_score":0.9977371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001929429534644,"score_gpt":0.3143122964931613,"score_spread":0.2742930021978148,"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."}}