{"id":"W6947793830","doi":"10.4224/40000669","title":"The NRC Ice Load Catalogue: volume 3: additional data: phase 2","year":2001,"lang":"en","type":"report","venue":"NPARC","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Canadian Wood Council","funders":"","keywords":"Bay; Volume (thermodynamics); Joint (building); Beaufort sea; Phase (matter)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001114247,0.001408774,0.001259193,0.007480995,0.001167471,0.001712478,0.001758553,0.0009632733,0.04713435],"category_scores_gemma":[0.003077366,0.0005553455,0.0006970958,0.01154827,0.0002690401,0.001136222,0.000881833,0.0009689023,0.03954802],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412119,"about_ca_system_score_gemma":0.006943776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2440891,"about_ca_topic_score_gemma":0.3283729,"domain_scores_codex":[0.998665,0.00006064074,0.0001220903,0.0000947941,0.0008250893,0.0002322698],"domain_scores_gemma":[0.9950042,0.0003161736,0.0003211092,0.000828904,0.003118457,0.0004110759],"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":[0.0003656899,0.0001814233,0.007727375,0.0005150323,0.00003772017,0.0001302472,0.0000845875,0.001731973,0.001878555,0.0008446058,0.9520884,0.0344144],"study_design_scores_gemma":[0.0002094651,0.00004323448,0.07399295,0.0001024176,0.00003288513,0.0001151536,0.0001175781,0.001561556,0.003153774,0.0004717571,0.9201341,0.00006502116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004372051,0.0001167215,0.0008486613,0.00006923814,0.00007375635,0.0003669104,0.9761454,0.0008742093,0.01713306],"genre_scores_gemma":[0.002441308,0.00007331415,0.001585458,0.00002621946,0.00001885357,0.0001686114,0.9905264,0.0002000416,0.004959695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9975879,"threshold_uncertainty_score":0.4853366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0711660892810191,"score_gpt":0.3651769479217987,"score_spread":0.2940108586407796,"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."}}