{"id":"W6927523308","doi":"10.34943/3a906a70-9c1d-4313-99c0-06cc36e1ea3f","title":"Discovery Passage Hydrophone Deployed 2016-03-18","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrophone; Underwater; Waveform; Channel (broadcasting); Sound (geography); Data logger","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":[0.0007518518,0.002141417,0.00110537,0.002728879,0.0009020551,0.001454401,0.002194051,0.001199997,0.01471139],"category_scores_gemma":[0.003522165,0.000441308,0.0006687849,0.004654334,0.0005157116,0.001340877,0.001603162,0.001350128,0.03557486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154549,"about_ca_system_score_gemma":0.003767199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1985969,"about_ca_topic_score_gemma":0.3411722,"domain_scores_codex":[0.9988737,0.00009934507,0.00008685003,0.0002568875,0.0004939265,0.0001893397],"domain_scores_gemma":[0.9981184,0.0001483274,0.0001053407,0.0003863842,0.001055911,0.0001857829],"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":[0.00007003937,0.00002173365,0.002230735,0.0001891676,0.00002022516,0.00004437096,0.00003486432,0.0007329343,0.0002076562,0.0003871682,0.9925729,0.003488096],"study_design_scores_gemma":[0.0001097597,0.00002312484,0.01296595,0.0002255231,0.00002019063,0.00008986024,0.0002449403,0.001839437,0.0008021957,0.001055617,0.9825673,0.0000562071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007767288,0.00007385343,0.0001707654,0.00008446353,0.00006141613,0.00001763987,0.9964716,0.0007263412,0.001617092],"genre_scores_gemma":[0.001142364,0.0000421579,0.0003158042,0.00002127709,0.000009418717,0.00003188314,0.9972672,0.00006450167,0.001105406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1985969,"threshold_uncertainty_score":0.3948819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007744774742702148,"score_gpt":0.2087793608277509,"score_spread":0.2010345860850488,"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."}}