{"id":"W6906580026","doi":"10.17605/osf.io/hnjvz","title":"Educating Riparian Attention","year":2024,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Riparian zone; Flood myth; Environmental education; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002321756,0.0003152036,0.0003035942,0.0007050578,0.001880524,0.002123238,0.0008795501,0.001294328,0.02887809],"category_scores_gemma":[0.00937458,0.0002117315,0.0002598743,0.0004788072,0.00114449,0.002685544,0.004891495,0.002632366,0.005584719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337771,"about_ca_system_score_gemma":0.002552994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003980891,"about_ca_topic_score_gemma":0.01244529,"domain_scores_codex":[0.9985039,0.0006979737,0.00002685453,0.0001692513,0.0002894214,0.000312614],"domain_scores_gemma":[0.9957076,0.001863592,0.000206553,0.0003317344,0.0008256976,0.001064827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009947721,0.001731798,0.01659562,0.0007153564,0.00003043798,0.0004367849,0.06946785,0.0001763468,0.003052516,0.01546642,0.2642002,0.6280272],"study_design_scores_gemma":[0.00006218772,0.0005386543,0.04564798,0.001336218,0.00006696572,0.0003700008,0.08047609,0.0005329894,0.003940712,0.02327785,0.8436876,0.00006276476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3662553,0.007136604,0.02785248,0.1389534,0.003749372,0.00061191,0.0004276581,0.001228018,0.4537854],"genre_scores_gemma":[0.7965001,0.0054918,0.01943303,0.02918145,0.0008524422,0.000726488,0.0004073289,0.0003234207,0.147084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02887809,"threshold_uncertainty_score":0.09660685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330631123831087,"score_gpt":0.2879744141150179,"score_spread":0.274668102876707,"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."}}