{"id":"W6958510610","doi":"10.6084/m9.figshare.14428709.v1","title":"WaterWatcher Images","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photography; Quality (philosophy); Visualization; Image quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004300675,0.0007483253,0.000452456,0.00218624,0.0009858669,0.0009579257,0.0009563144,0.001034281,0.5305154],"category_scores_gemma":[0.001156667,0.0004798252,0.0004358917,0.00210254,0.0002364704,0.001310618,0.0009115413,0.001067388,0.2392232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007564721,"about_ca_system_score_gemma":0.001159932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00648791,"about_ca_topic_score_gemma":0.01876428,"domain_scores_codex":[0.9996351,0.00001473402,0.00001440462,0.00007233604,0.0002340255,0.00002936951],"domain_scores_gemma":[0.9992924,0.00008413247,0.00002405232,0.00009502722,0.0004455882,0.00005878492],"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":[0.000165104,0.00006221373,0.0004499475,0.0004131572,0.000005861958,0.0002791381,0.0001231514,0.0003985272,0.02444394,0.001770682,0.8536763,0.1182121],"study_design_scores_gemma":[0.00002689402,0.00004703399,0.003114431,0.00008856817,0.000006711698,0.0002517859,0.0001236052,0.0004726498,0.009612601,0.0007618845,0.9854646,0.00002920059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01073698,0.001018616,0.04614509,0.002473344,0.002087815,0.001788317,0.1577856,0.01902346,0.7589408],"genre_scores_gemma":[0.02708433,0.00200586,0.05542688,0.001808169,0.0002904483,0.00165889,0.09574892,0.005717766,0.8102587],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5305154,"threshold_uncertainty_score":0.6696628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528915278359406,"score_gpt":0.2068947166870277,"score_spread":0.1916055639034337,"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."}}