{"id":"W6958031759","doi":"10.6075/j0n8788n","title":"VANC33MV Vancouver Expedition Leg 33 - Cruise Data. In Data from Scripps Research Expeditions 1953-2005","year":2020,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Data collection; Marine safety","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":[0.0005212817,0.001337678,0.001011173,0.00478455,0.0008296358,0.002093544,0.001620589,0.00102157,0.06116781],"category_scores_gemma":[0.003249421,0.0007913592,0.0005408023,0.01195724,0.0003034828,0.0008023408,0.001038463,0.001622592,0.06468841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002851836,"about_ca_system_score_gemma":0.006228809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5424847,"about_ca_topic_score_gemma":0.665597,"domain_scores_codex":[0.9993541,0.0000360179,0.00005785516,0.000144311,0.0002756309,0.0001320374],"domain_scores_gemma":[0.9973907,0.0002929476,0.0002579813,0.0003023315,0.001459946,0.0002961583],"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":[0.00003213579,0.00000728368,0.0007833383,0.0002212819,0.00001511977,0.000009138849,0.00001640448,0.0001555083,0.00004926808,0.0002210176,0.9969071,0.001582381],"study_design_scores_gemma":[0.00007916994,0.000004531826,0.01084098,0.0002220456,0.00001692624,0.000013565,0.00008507655,0.0001898395,0.000207687,0.0002735379,0.9880459,0.00002087817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006845558,0.00002004887,0.000009162958,0.0000170547,0.000006667161,0.00000197085,0.999272,0.0000413495,0.0005632788],"genre_scores_gemma":[0.0002933333,0.0000348472,0.00005419744,0.000008820345,0.000002560447,0.00001220172,0.9981641,0.00003463638,0.001395278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5424847,"threshold_uncertainty_score":0.9204194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506729332778515,"score_gpt":0.3406308350255062,"score_spread":0.1899579017476547,"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."}}