{"id":"W6969354524","doi":"10.5683/sp2/xxwhzt","title":"Data from: Measuring agreement among experts in classifying camera images of similar species","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Sodium Intake and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wildlife; Contextual image classification; Kappa; Range (aeronautics); Cohen's kappa; Citizen science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01368449,0.000486371,0.0005382808,0.003333762,0.0010435,0.001277208,0.0007258547,0.001217786,0.003301048],"category_scores_gemma":[0.05462989,0.0003269036,0.0009497567,0.001113848,0.0007914384,0.001755914,0.002128229,0.0007283991,0.001036535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008030178,"about_ca_system_score_gemma":0.000425027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297573,"about_ca_topic_score_gemma":0.004763964,"domain_scores_codex":[0.9840406,0.005180593,0.002505322,0.003012923,0.004542283,0.0007182671],"domain_scores_gemma":[0.9045764,0.04785858,0.01310566,0.005209318,0.02726441,0.001985564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001672382,0.0004929758,0.9164893,0.0009755353,0.0007643534,0.0001907582,0.01153164,0.002413631,0.01009555,0.0006132817,0.005650953,0.04910958],"study_design_scores_gemma":[0.00006189,0.0004058646,0.9682219,0.0001883565,0.0001689593,0.0003153485,0.007050714,0.009562647,0.006865976,0.0008651033,0.006162673,0.000130528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9855011,0.0001912162,0.006115634,0.00009769444,0.00005797175,0.0004674438,0.001624225,0.00009165105,0.00585315],"genre_scores_gemma":[0.9864358,0.00008864827,0.009245317,0.0001333656,0.00003574361,0.0006158351,0.002398379,0.00004318461,0.001003713],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01368449,"threshold_uncertainty_score":0.07237142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453516452438023,"score_gpt":0.3367243693583786,"score_spread":0.1913727241145763,"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."}}