{"id":"W6944811135","doi":"10.22008/fk2/g06yck/wpkfby","title":"Save_Penrose_Extract_UniqueVertices_to_text_and_KML_ARF-checkpoint.ipynb","year":2025,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0008595339,0.003814853,0.002002377,0.003511346,0.00094992,0.003083654,0.004340203,0.002901839,0.186654],"category_scores_gemma":[0.003821121,0.001462799,0.001534865,0.005209823,0.0005373686,0.00237319,0.002647024,0.001938561,0.2740427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634603,"about_ca_system_score_gemma":0.00221048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297288,"about_ca_topic_score_gemma":0.03379693,"domain_scores_codex":[0.9992717,0.00008013506,0.00007367829,0.000280815,0.0001534015,0.0001402541],"domain_scores_gemma":[0.9985618,0.0003654696,0.00012338,0.0004690994,0.0003212986,0.0001590539],"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":[0.000052929,0.0000157326,0.0003927279,0.0005956462,0.0000197973,0.00001423819,0.00002009351,0.0002131294,0.0001444418,0.0003308236,0.9962425,0.001957919],"study_design_scores_gemma":[0.0001850537,0.00001086642,0.001838254,0.0001822394,0.00002124656,0.00003445692,0.00004866416,0.0004877532,0.0008950995,0.001213704,0.9950486,0.00003417606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00007975275,0.00003800024,0.0001012466,0.00003382165,0.00001546893,0.000007296282,0.9967033,0.002272212,0.0007488609],"genre_scores_gemma":[0.0003004971,0.00003673626,0.0003476986,0.00003218013,0.000003347492,0.00004058595,0.9980743,0.0004750036,0.0006896678],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.813346,"threshold_uncertainty_score":0.6244197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373018415965448,"score_gpt":0.2766711245767676,"score_spread":0.2629409404171131,"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."}}