{"id":"W2216793217","doi":"10.1017/cbo9781139019507.031","title":"Photographic Credits","year":2012,"lang":"en","type":"other","venue":"Physical Geography","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Presentation (obstetrics); Section (typography); Narrative; Earth system science; Key (lock); Computer science; Data science; Geography; Engineering ethics; Earth science; Architectural engineering; Engineering; Linguistics; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006334827,0.0002772063,0.0002788826,0.0001238024,0.00009592931,0.00002221914,0.0003752935,0.00009275402,0.01098025],"category_scores_gemma":[0.000004964491,0.0002164558,0.0002955516,0.0007735479,0.0007050552,0.0000794724,0.0002624384,0.0001628405,0.005667982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008168416,"about_ca_system_score_gemma":0.00000180772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000392379,"about_ca_topic_score_gemma":0.00006080405,"domain_scores_codex":[0.9984776,0.00002132664,0.00009150974,0.000414332,0.0004693628,0.0005258564],"domain_scores_gemma":[0.9993695,0.00002194258,0.00009271379,0.0003541877,0.000002561649,0.0001590797],"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":[0.000002014434,0.0002408649,0.05110403,0.00001288777,0.00005150434,0.000001204601,0.00009229922,5.620232e-7,0.0001681479,0.0001297868,0.9403818,0.007814851],"study_design_scores_gemma":[0.00008578869,0.00003447464,0.03222116,0.00002318139,0.00005806216,6.281778e-7,0.00002096971,0.000005446111,0.00004296904,0.001117884,0.966048,0.0003414392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001917981,0.0006403373,0.000005967375,0.00003233571,0.0004008504,0.0001773434,0.0000290462,0.0002329503,0.9965632],"genre_scores_gemma":[0.4843754,0.002158939,0.0008961908,0.001460507,0.006282576,0.0004418821,0.00009919926,0.001195949,0.5030894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4934738,"threshold_uncertainty_score":0.9951062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008138377530837272,"score_gpt":0.2320682380342204,"score_spread":0.2239298605033831,"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."}}