{"id":"W6985814348","doi":"","title":"Cold Front","year":2008,"lang":"en","type":"other","venue":"RMIT Research Repository (RMIT University Library)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Indigenous; Photography; Theme (computing); Exhibition; Front (military); The arctic","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":[0.0005765656,0.000745977,0.0004330569,0.0007911515,0.003646969,0.005805416,0.001021086,0.003053363,0.8236588],"category_scores_gemma":[0.002380284,0.0004577065,0.0005597723,0.0005440914,0.0009212076,0.003426147,0.003611894,0.002914918,0.6787891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180438,"about_ca_system_score_gemma":0.001704833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008945248,"about_ca_topic_score_gemma":0.02186944,"domain_scores_codex":[0.9991961,0.00007120387,0.00003233444,0.0001942614,0.0003415316,0.0001646334],"domain_scores_gemma":[0.998897,0.00008402285,0.00003636703,0.0001503517,0.0005630319,0.0002693515],"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":[0.00003602473,0.00001191038,0.0001472002,0.00006918678,0.000001993205,0.0001208824,0.0002039568,0.00002823628,0.000397272,0.005815573,0.9550045,0.03816308],"study_design_scores_gemma":[0.00000191624,0.000003898087,0.0001527423,0.00002165314,3.878147e-7,0.00004642101,0.00009059898,0.00001029543,0.00005143137,0.0002947154,0.9993232,0.00000267409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004570865,0.0006203564,0.0005944546,0.004958771,0.005509819,0.00006338334,0.0009151461,0.0007458024,0.9861351],"genre_scores_gemma":[0.001380835,0.0001931413,0.0001526992,0.001472783,0.0002822111,0.00001915241,0.000267799,0.0002522266,0.9959791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8236588,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143904152551341,"score_gpt":0.2769926095848492,"score_spread":0.2355535680593357,"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."}}