{"id":"W2964965655","doi":"10.1145/3306211.3320139","title":"Knowing together","year":2019,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Photogrammetry; Computer science; Computer vision; Process (computing); Artificial intelligence; Computer graphics (images); Ideal (ethics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537531,0.001090768,0.0004790654,0.001881599,0.01223845,0.007611613,0.001312996,0.002529861,0.0523176],"category_scores_gemma":[0.005671745,0.0004527019,0.0007260359,0.001649832,0.005468543,0.008386058,0.009538037,0.003847009,0.01254377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342115,"about_ca_system_score_gemma":0.002061504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431893,"about_ca_topic_score_gemma":0.006575394,"domain_scores_codex":[0.9972262,0.0008765623,0.0001064758,0.0004987429,0.0007752921,0.0005166595],"domain_scores_gemma":[0.9966694,0.0006658245,0.0002296303,0.0008077452,0.0004413491,0.001186002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000171244,0.0002138555,0.005005982,0.0006201541,0.00007516753,0.001506769,0.279531,0.0005640705,0.00734351,0.1191982,0.2205776,0.3651925],"study_design_scores_gemma":[0.000006226406,0.00006821952,0.002061918,0.000170183,0.00001814619,0.0009922308,0.03475713,0.0002004164,0.0009075954,0.01686901,0.9439098,0.00003910597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06937151,0.00215367,0.04446593,0.007975808,0.00173671,0.0005234722,0.0006261852,0.001541883,0.8716048],"genre_scores_gemma":[0.4919341,0.00239847,0.04314998,0.007236922,0.0006351469,0.0005448846,0.001814791,0.001281729,0.451004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0523176,"threshold_uncertainty_score":0.1750198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413888675316631,"score_gpt":0.1979823315184722,"score_spread":0.1838434447653059,"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."}}