{"id":"W7066733174","doi":"","title":"Iris Energy commits to an enduring relationship with First Nations at Canal Flats","year":2021,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); IRIS (biosensor); Government (linguistics); Field (mathematics); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0008446389,0.0003330142,0.0003044034,0.0008620067,0.00782391,0.005385104,0.0009412021,0.00511339,0.1798733],"category_scores_gemma":[0.003059813,0.0002801482,0.0003456407,0.0006698183,0.001532118,0.00148158,0.003892189,0.005451997,0.04409368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005834955,"about_ca_system_score_gemma":0.01718445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09855626,"about_ca_topic_score_gemma":0.2850395,"domain_scores_codex":[0.9983911,0.00006136939,0.00001429065,0.00009618019,0.0009676072,0.000469462],"domain_scores_gemma":[0.9977634,0.0001605446,0.00005454204,0.0001488179,0.0008803349,0.0009923613],"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":[0.00005123065,0.00006531662,0.001136912,0.00003254959,0.00000295445,0.0002200456,0.0002459036,0.0001622753,0.0006544422,0.06969011,0.8918365,0.03590177],"study_design_scores_gemma":[0.000003422122,0.000008299179,0.0007119648,0.0000102599,7.790757e-7,0.00004363664,0.0001664306,0.000106908,0.0002255958,0.001149756,0.9975685,0.000004321943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004216328,0.0002536281,0.0008730843,0.03242022,0.00175758,0.00006176719,0.0007654399,0.000625915,0.959026],"genre_scores_gemma":[0.008072519,0.00007106303,0.0002951532,0.001876673,0.0000764244,0.00001492064,0.0001298083,0.0001655167,0.9892979],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9014437,"threshold_uncertainty_score":0.6017361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998644008216071,"score_gpt":0.2623310058200971,"score_spread":0.2423445657379364,"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."}}