{"id":"W2612861860","doi":"10.29173/alr476","title":"A Gathering Storm: Water Conflict in Alberta","year":2005,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entitlement (fair division); Legislature; Focus (optics); Storm; Political science; Law and economics; Law; Sociology; Economics; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002096088,0.0001734085,0.0002682431,0.001820503,0.008730073,0.004367331,0.00139369,0.002274239,0.00275394],"category_scores_gemma":[0.002914148,0.0002022563,0.0001744796,0.004080283,0.004017358,0.0007678519,0.001333958,0.001958682,0.0001370059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05059903,"about_ca_system_score_gemma":0.07668652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749177,"about_ca_topic_score_gemma":0.9895185,"domain_scores_codex":[0.9975349,0.0003073652,0.00006948524,0.0001244306,0.001326532,0.0006374037],"domain_scores_gemma":[0.9977328,0.0006189821,0.0002171601,0.00004653017,0.001053537,0.0003309033],"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":[0.0004566412,0.0002189084,0.06852959,0.001406826,0.0001896776,0.009515755,0.02176058,0.009049565,0.002480868,0.2902396,0.3518014,0.2443506],"study_design_scores_gemma":[0.0001007214,0.0001280117,0.2163903,0.0005824395,0.0001588537,0.0008102888,0.02908006,0.001296768,0.0008086846,0.01836604,0.7321261,0.0001517033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.326817,0.09893471,0.001028433,0.08912127,0.00156572,0.0001575321,0.0008161759,0.00007014247,0.481489],"genre_scores_gemma":[0.8764592,0.04374195,0.000443649,0.01752433,0.0003958964,0.00002534903,0.0004855586,0.00001888615,0.06090519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05059903,"threshold_uncertainty_score":0.3671234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754109304723721,"score_gpt":0.2876001917627279,"score_spread":0.2700590987154907,"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."}}