{"id":"W6894255135","doi":"10.5443/12044","title":"Cliff edge, Tuktoyaktuk 1947 to 2008, Beaufort Sea, northern Canada","year":2016,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerial photography; Cliff; Aerial survey; Georeference; Beaufort sea; Photogrammetry; Aerial photos; Photography","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":[],"consensus_categories":[],"category_scores_codex":[0.0004692866,0.001427802,0.0009506593,0.007654884,0.002277665,0.002499518,0.002279246,0.0007038873,0.02348616],"category_scores_gemma":[0.00367148,0.0005615127,0.0007933113,0.02032975,0.0006128813,0.0008519893,0.001485421,0.001023178,0.0165174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01544327,"about_ca_system_score_gemma":0.03277808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810486,"about_ca_topic_score_gemma":0.9895404,"domain_scores_codex":[0.9992114,0.00003042398,0.00006595634,0.0001487211,0.0002922768,0.0002510439],"domain_scores_gemma":[0.9975497,0.0001340372,0.0001575033,0.0002321288,0.001640287,0.0002863305],"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":[0.00007916577,0.00001606483,0.007795765,0.0004139543,0.00004471036,0.00006051563,0.0001372135,0.0004415906,0.00008763654,0.0006643347,0.9860162,0.004242974],"study_design_scores_gemma":[0.00008559944,0.000008252175,0.06277351,0.0004925391,0.00004389195,0.00008316022,0.0008653502,0.0005756246,0.0003103616,0.0003492405,0.9343503,0.00006227534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005865452,0.00008240361,0.00002141361,0.00003048027,0.00000983591,0.000008039641,0.9982943,0.00006213623,0.0009049042],"genre_scores_gemma":[0.001418051,0.00009788226,0.0001160316,0.00001374276,0.000002624641,0.00002988584,0.9968593,0.00002505624,0.00143741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02348616,"threshold_uncertainty_score":0.1120493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775936443428615,"score_gpt":0.2360542024610142,"score_spread":0.218294838026728,"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."}}