{"id":"W2113842247","doi":"10.1111/gere.12011","title":"To Catch A Coney Fish With Bare Hands","year":2013,"lang":"en","type":"article","venue":"Geographical Review","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fish <Actinopterygii>; Columbia university; Art history; Geography; Art; Sociology; Media studies; Fishery; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005315725,0.001213514,0.0008594233,0.0009966932,0.0009258196,0.0009562753,0.001125266,0.001635432,0.6832445],"category_scores_gemma":[0.002641559,0.0003024378,0.001063759,0.0003875463,0.0002606405,0.002302639,0.002108966,0.0008052195,0.4420283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002046058,"about_ca_system_score_gemma":0.000422697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570141,"about_ca_topic_score_gemma":0.006280405,"domain_scores_codex":[0.9997938,0.00001845732,0.0000130409,0.00003911524,0.00008094669,0.0000546754],"domain_scores_gemma":[0.9988971,0.0002089719,0.00006504844,0.0001200692,0.0003389285,0.0003699246],"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":[0.0004271966,0.0001211535,0.0007949138,0.0006806813,0.00001904332,0.0002686231,0.0001082606,0.00005314578,0.003468875,0.000366091,0.8378575,0.1558345],"study_design_scores_gemma":[0.0002127779,0.0004961413,0.0084041,0.0008995386,0.00005888041,0.0007389872,0.0005386575,0.0005264997,0.003928325,0.001039828,0.9830662,0.00009014567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02144114,0.00343494,0.02302805,0.01306183,0.01562987,0.002573422,0.01487361,0.03035196,0.8756051],"genre_scores_gemma":[0.04585787,0.003400354,0.03623122,0.009217834,0.002173167,0.002053287,0.006915568,0.004260391,0.8898904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6832445,"threshold_uncertainty_score":0.4518133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774893871672215,"score_gpt":0.2913400022048043,"score_spread":0.2735910634880822,"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."}}