{"id":"W4393502619","doi":"10.5281/zenodo.6463925","title":"The true colour of water at Upper Penticton Creek -- data and scripts","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scripting language; Geology; Hydrology (agriculture); Computer science; Geography; Geotechnical engineering; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001882709,0.001193993,0.0009304521,0.00168159,0.0009259378,0.003543882,0.002074142,0.0006575562,0.3558464],"category_scores_gemma":[0.01006058,0.001137713,0.0009760416,0.00285175,0.0004823893,0.002792718,0.001844384,0.00171242,0.2337344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448493,"about_ca_system_score_gemma":0.002010157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120243,"about_ca_topic_score_gemma":0.01090782,"domain_scores_codex":[0.9985134,0.0002537511,0.0001858057,0.0004660223,0.0004131287,0.0001678103],"domain_scores_gemma":[0.9955924,0.001649949,0.0003138974,0.0007247265,0.001406756,0.000312255],"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":[0.0001892479,0.00002716209,0.001301583,0.0002384091,0.00001602307,0.00003644022,0.0001765652,0.0003379937,0.0004887051,0.001188218,0.9822896,0.01371006],"study_design_scores_gemma":[0.0002132843,0.00003184997,0.008393965,0.0002415355,0.00002878388,0.00006923661,0.0002781664,0.003477067,0.004867032,0.00535408,0.9769405,0.0001043989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001512924,0.00004107293,0.01111448,0.0003082872,0.0002200148,0.0002798953,0.8620664,0.1050254,0.01943154],"genre_scores_gemma":[0.0151758,0.00009938819,0.04019856,0.0007720738,0.0001125611,0.002359592,0.7778605,0.1299548,0.03346664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9879757,"threshold_uncertainty_score":0.9188069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672192321386071,"score_gpt":0.2832985521319567,"score_spread":0.236576628918096,"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."}}