{"id":"W2888478010","doi":"","title":"Supporting Information: Environmental Drivers of the Canadian Arctic Megabenthic Communities","year":2015,"lang":"en","type":"article","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Arctic; The arctic; Geography; Environmental planning; Environmental resource management; Environmental protection; Environmental science; Oceanography; Geology","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":[0.001564561,0.0007829036,0.0006905247,0.005393211,0.004821549,0.002624759,0.003249375,0.001228341,0.5985248],"category_scores_gemma":[0.0179652,0.0004338711,0.0006735839,0.01602398,0.0006857073,0.001670498,0.001910571,0.0007905011,0.04652388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.010359,"about_ca_system_score_gemma":0.05151464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9595988,"about_ca_topic_score_gemma":0.9816865,"domain_scores_codex":[0.9987446,0.00006865559,0.0000837745,0.00006995605,0.0006054876,0.0004273743],"domain_scores_gemma":[0.9740905,0.004401417,0.0008572808,0.0006567216,0.01744673,0.002547291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005298637,0.00005078171,0.009067093,0.0004731796,0.000009720312,0.00006282736,0.0004157296,0.0002575163,0.00004276966,0.0005941812,0.9741943,0.01477886],"study_design_scores_gemma":[0.0005028007,0.00008181184,0.2186337,0.002892108,0.00008470945,0.0002034288,0.02044196,0.002245125,0.0006559371,0.002030976,0.7520684,0.000158988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003202585,0.00007614688,0.0001600528,0.00197313,0.0003116929,0.0002617508,0.9673541,0.00009293605,0.02656768],"genre_scores_gemma":[0.08965544,0.002048534,0.005873462,0.001455738,0.0006106569,0.001810792,0.7265593,0.0003269836,0.171659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5985248,"threshold_uncertainty_score":0.5726556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774297888829802,"score_gpt":0.3329169043027595,"score_spread":0.2851739254144615,"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."}}