{"id":"W6931727974","doi":"10.5443/12036","title":"Coastline, Shallow Bay 1950-2010, Northwest Territories, northern Canada","year":2016,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; Aerial photography; Orthophoto; Bay; Aerial survey; Photography; Satellite imagery; Beaufort sea","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":[0.0004033968,0.001311477,0.0009245772,0.00483473,0.001693986,0.001895935,0.002156948,0.0006133003,0.0205849],"category_scores_gemma":[0.002838693,0.00053458,0.0007735007,0.01647304,0.0005248529,0.0006587062,0.001033176,0.001023566,0.01234517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01407764,"about_ca_system_score_gemma":0.02972385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9768583,"about_ca_topic_score_gemma":0.9872716,"domain_scores_codex":[0.9994155,0.0000284539,0.00006599385,0.0001440932,0.0001756662,0.000170325],"domain_scores_gemma":[0.9982639,0.0001012527,0.0001703014,0.0001866312,0.001019172,0.00025884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001174474,0.00002080975,0.01180682,0.0004489522,0.0000610492,0.00006811875,0.00006972683,0.0006241081,0.00006573132,0.0005754378,0.9816691,0.004472678],"study_design_scores_gemma":[0.0002480646,0.00001611284,0.1122485,0.0007280686,0.00009901245,0.0001716651,0.0006637155,0.001121836,0.0003663662,0.0005338347,0.8837253,0.00007753359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005264825,0.00007897084,0.00001593575,0.00003259536,0.000006080808,0.000009096117,0.998687,0.00003880571,0.0006051155],"genre_scores_gemma":[0.001729523,0.000166153,0.0001372425,0.00002394989,0.000003209167,0.00004242312,0.9966912,0.00001602626,0.001190262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02314174,"threshold_uncertainty_score":0.1021408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288291637453146,"score_gpt":0.2656716684300243,"score_spread":0.2427887520554929,"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."}}