{"id":"W6888743424","doi":"10.21966/35tn-w772","title":"Northwest Calvert Substrate Mapping","year":2020,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Substrate (aquarium); Seafloor spreading; High resolution; Backscatter (email); Resolution (logic)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002501015,0.001025081,0.001052289,0.0004453616,0.0003422263,0.0002981135,0.001543761,0.0006804863,0.0005974849],"category_scores_gemma":[0.0002068399,0.001086424,0.0003721713,0.001119898,0.0004522881,0.0006485857,0.00047334,0.001663332,0.1906622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819797,"about_ca_system_score_gemma":0.0009935106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006513075,"about_ca_topic_score_gemma":0.02628138,"domain_scores_codex":[0.9958737,0.00009252767,0.0008771975,0.001299764,0.0009164013,0.0009404482],"domain_scores_gemma":[0.9970595,0.00003644223,0.0005471106,0.001611717,0.0001560701,0.00058919],"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":[0.00003836678,0.00009036498,0.00005681129,0.0003766639,0.0002604988,0.002264691,0.00003931818,0.00008064976,0.00009723096,0.00007665689,0.9965104,0.0001083598],"study_design_scores_gemma":[0.0006356094,0.00003719014,0.0006366071,0.0003339061,0.0002338692,0.0001008544,0.00001434121,0.00002229111,0.00004249225,0.00001995832,0.9967718,0.001151044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002407798,0.0001724952,0.00002686419,0.0001511697,0.003314377,0.0006448163,0.9936342,0.0005427564,0.001272565],"genre_scores_gemma":[0.00014486,0.0002368536,0.000288,0.0009741739,0.001540688,0.00009828791,0.9963769,0.000165636,0.0001746247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1900647,"threshold_uncertainty_score":0.9991586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911071536286817,"score_gpt":0.2663971365188829,"score_spread":0.2172864211560147,"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."}}