{"id":"W6929058643","doi":"10.4224/17712927","title":"Automated image analysis for remote ice detection","year":2010,"lang":"en","type":"report","venue":"NPARC","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image processing; Officer; Data processing; Image (mathematics); Raw data; Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023312,0.0008304525,0.0008335793,0.002159207,0.0005906882,0.001153311,0.001149972,0.000734026,0.01351691],"category_scores_gemma":[0.00262802,0.0005174737,0.0008899248,0.001623452,0.0004864234,0.0008815999,0.0008812064,0.0008231127,0.005990001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006773804,"about_ca_system_score_gemma":0.001169166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002165942,"about_ca_topic_score_gemma":0.002222145,"domain_scores_codex":[0.9988106,0.0002487605,0.00006378404,0.0001863264,0.0006121689,0.00007828808],"domain_scores_gemma":[0.9987961,0.0003725194,0.0001392515,0.000252728,0.0004043018,0.00003491715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002147728,0.0002080968,0.001437559,0.0005078369,0.0000997442,0.0001582635,0.00007418335,0.02505788,0.07999682,0.01232565,0.03784556,0.8420736],"study_design_scores_gemma":[0.00009754327,0.0002314798,0.006334201,0.0001129883,0.00008166002,0.0009051997,0.0001109289,0.6537434,0.1715854,0.03210925,0.1345824,0.0001055913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007976917,0.001123483,0.9702729,0.0003751969,0.0001030945,0.0002563329,0.001174137,0.01074185,0.007976132],"genre_scores_gemma":[0.08360255,0.001172002,0.9047613,0.0001859004,0.00007846821,0.0004680477,0.002809917,0.0006700911,0.006251863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01351691,"threshold_uncertainty_score":0.04521853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602064474156802,"score_gpt":0.3595092750187049,"score_spread":0.3234886302771369,"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."}}