{"id":"W1498952527","doi":"10.1111/cag.12063","title":"<scp>T</scp>oward cumulative effects assessment and management in the Athabasca watershed, Alberta, Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Watershed; Cumulative effects; Stakeholder; Stakeholder engagement; Environmental resource management; Business; Environmental planning; Political science; Accounting; Geography; Public relations; Environmental science; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002473803,0.0004913074,0.0003532157,0.0005876563,0.0007006156,0.0002108899,0.0006403895,0.0001225814,0.0002095558],"category_scores_gemma":[0.00003273364,0.0003947383,0.000127493,0.001916999,0.001063323,0.0005001138,0.0001808088,0.0003036589,0.00003057432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007240685,"about_ca_system_score_gemma":0.00007787265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999227,"about_ca_topic_score_gemma":0.9999418,"domain_scores_codex":[0.9967984,0.0002008457,0.0003592742,0.0006231453,0.0005404914,0.001477871],"domain_scores_gemma":[0.9980514,0.0004161667,0.000108263,0.0004616582,0.0000115552,0.0009509604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001118427,0.00003111578,0.9536411,0.00004012377,0.0001327777,0.0001690159,0.003140719,0.00003585652,0.00001005026,0.0008391587,0.03774061,0.004218362],"study_design_scores_gemma":[0.0003689465,0.00007789454,0.9378332,0.00002605357,0.00005005931,0.00001631832,0.01867735,0.00004408798,0.000007589779,0.00115107,0.04150138,0.0002460635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614434,0.000190969,0.000001372843,0.001453706,0.0002652344,0.001371667,0.00003596238,0.00001756331,0.03522016],"genre_scores_gemma":[0.9944993,0.0007648882,0.0001827804,0.002899872,0.00003487289,0.0004791589,0.00006023939,0.000038372,0.001040534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03417963,"threshold_uncertainty_score":0.9998505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246238609929566,"score_gpt":0.2018505750056493,"score_spread":0.1966043363957198,"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."}}