{"id":"W6965599346","doi":"10.34943/dea5fe93-6869-4904-9138-fa5df039caeb","title":"Oceanic Explorer Remotely Operated Vehicle Camera Deployed 2014-05-01","year":2014,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remotely operated vehicle; Remotely operated underwater vehicle; Software deployment; Video camera; Mobile device; Sonar","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":[],"consensus_categories":[],"category_scores_codex":[0.0006922589,0.001926956,0.001103032,0.004049677,0.001002947,0.001546266,0.002567757,0.001156496,0.01605864],"category_scores_gemma":[0.00318182,0.0004636773,0.0006404372,0.006966659,0.0004980412,0.001229762,0.001589489,0.001417439,0.02869874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003357051,"about_ca_system_score_gemma":0.005108659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4465296,"about_ca_topic_score_gemma":0.6133939,"domain_scores_codex":[0.9987255,0.00009576212,0.00008381461,0.0002858915,0.0005329498,0.0002760929],"domain_scores_gemma":[0.9979086,0.000136101,0.0001272977,0.0003581829,0.001271353,0.000198482],"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":[0.00004620629,0.00002157476,0.001926781,0.0001876691,0.00002176722,0.00003621509,0.00003759562,0.0004748853,0.0001681472,0.0003716454,0.9932153,0.003492245],"study_design_scores_gemma":[0.00007206194,0.00001503169,0.01467409,0.0002225765,0.00002047531,0.00006021712,0.0003323084,0.001224618,0.0006828986,0.0006008012,0.9820419,0.0000528848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006718996,0.0000695829,0.0001286535,0.00006356644,0.00003500447,0.00002404748,0.9969375,0.0004651067,0.001604662],"genre_scores_gemma":[0.00089379,0.00003537839,0.000286473,0.00001594365,0.000005231737,0.00003476718,0.997759,0.0000534071,0.0009158875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5534704,"threshold_uncertainty_score":0.887861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059521306539751,"score_gpt":0.2143416786869964,"score_spread":0.2037464656215989,"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."}}