{"id":"W7070426076","doi":"","title":"Ontario prepares to join the Carbon Market - GLOBE-Net","year":2016,"lang":"en","type":"other","venue":"","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Join (topology); Government (linguistics); Carbon fibers; Carbon market; 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":[0.00072371,0.000583924,0.0003060945,0.00108106,0.004361179,0.004207545,0.0008110988,0.004428592,0.3214009],"category_scores_gemma":[0.001371954,0.0003945119,0.0005509439,0.001331855,0.001070129,0.001474774,0.001273792,0.001750317,0.06934509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01734299,"about_ca_system_score_gemma":0.05190648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8482832,"about_ca_topic_score_gemma":0.9665751,"domain_scores_codex":[0.9991868,0.000015655,0.000009286352,0.00003458706,0.0005363671,0.0002173298],"domain_scores_gemma":[0.9981923,0.00005806388,0.00004004114,0.00005371819,0.0008657193,0.0007903284],"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":[0.00003696518,0.00003227947,0.0004554254,0.00004366163,0.000002769032,0.0000745346,0.00003731409,0.00006365174,0.0002996463,0.005036854,0.9796569,0.0142599],"study_design_scores_gemma":[0.00001108781,0.000008833164,0.001449816,0.00002010606,0.000001718443,0.00001198326,0.00008080401,0.00005817259,0.00016645,0.0003708522,0.9978147,0.000005534088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002362694,0.00113828,0.0003606346,0.019019,0.001613709,0.0002068157,0.00779527,0.0004258176,0.9670778],"genre_scores_gemma":[0.002689108,0.0003719295,0.000190526,0.001067418,0.00008157556,0.00001517965,0.0008003128,0.0001012127,0.9946828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3214009,"threshold_uncertainty_score":0.9679393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004081011083809211,"score_gpt":0.2007626169002468,"score_spread":0.1966816058164376,"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."}}